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 Internation al Jour nal of Rev iew in Ele ctronic s and C ommun ication Engin eering Volume 3, No 6 December 2015 ©http://ijrece.org e- ISSN: 2321-3159 p- ISSN: 2321-3140 Page 114 ZEEHC: Zone-Based Energy Efficient Hierarchal Clustering Protocol for Wireless Sensor Networks Ramandeep Kaur 1 , Nitin Mittal 2  1 Student, 2 Assistant Professor, 1,2 Chandigarh University,Gharuan 1 [email protected], 2 [email protected]  Abst rac t    Wireless Sensor Network (WSN) is an emerging technology with potential applications in the field of habitat monitoring and industrial applications. Sensors monitor the changes in a physical attribute of the surroundings such as temperature and observe the collected data and transmit it to the base station (BS). These sensors are mostly unattended, and their limited battery life makes energy a precious resource that must be utilized wisely. It is necessary to maintain the sensor network for longer duration of time in an energy-efficient manner for collection information. Hence, it is incessantly fascinating to design protocols that prolong the network lifetime and which are energy efficient protocol. This paper proposes a protocol refer to as zone based energy efficient hierarchal clustering (ZEEHC) protocol that splits the network into small zones and increases lifetime of network. Multi-hop communication between CHs to ZHs to base station is introduced to obtain minimum energy consumption. Further, the results reveal that the proposed algorithm considerably outperforms existing algorithm in terms of energy optimization and system network. K e yw ords: Clustering, SEECH, ZEEHC, Network lifetime, Residual energy, WSN. I. INTRODUCTION  WSN is basically a collection of wireless nodes with limited energy capabilities that may be static or dynamic and are placed randomly on an energetically varying environment. The routing strategies selection is a vital problem for the efficient delivery of the packets to their destination. Additionally in such networks, the applied routing strategy must ensure the minimum energy utilization in order to maximize the network lifetime [1]. First WSN was implemented in the middle of the 70s by the military and defense industries. During the Vietnam War, WSN is used in order to bear the detection of enemies in remote jungle areas. But their implementations had many drawbacks including the large sensor size and higher energy utilization and the limited network capability. Therefore a large amount of work on the WSNs field has been taken out resulting in the improvement of the WSNs on a large variety of applications and systems with hugely varying requirements and characteristics. In the mean time, various energy-efficient routing protocols have been implemented and developed for WSNs in order to maintain efficient data delivery to their destination. As a result, each energy-efficient routing protocol may have particular characteristics depending on the application and network architecture. Routing protocols are one of the hub technologies in the WSN. Routing is a complete challenge in WSN [2], due to its intrinsic characteristics. Clustering is a well-know and generally used tentative data transmission technique, and is mainly useful for such applications that require scalability to hundreds or thousands of nodes [3]. In clustering protocols, the entire network is subdivided into clusters having cluster members (CMs) and one cluster head (CH). All CMs transmit their sensed data to CH and CH is responsible for long run data transmission from cluster to BS. In this way, the energy consumption using clustering approach is much lower than the direct transmission. However, in clustering due to overburden at the CH due to long transmission of data, CHs die out earli er. In this paper, we propose a Zone based Energy Efficient hierarchal Clustering (ZEEHC) protocol to maintain the energy utilization among all nodes. The WSN is divided into equal size of zone. ZEEHC helps to improve the network lifetime with low utilization of energy in the WSNs. The clustering protocols are actually contains cross layering techniques for scheming energy efficient hierarchal WSNs [12] where the sensor nodes that belong to a CH and gives their data to a nearest node to their cluster called CH and then CH elected the useful data and gives aggregate data to the relay node in the zone. The aggregated data is then transmitted to BS by relay node using multi-hop communication. The clustering schemes can raise network lifetime and better energy efficiency by decreasing all of the energy consumption and maintaining utilization belonging the nodes during the network lifetime [13],[14]. The clustering based protocols are explained according to the schemes they accept to select cluster heads as well as communicating the aggregate information to the base station. II. R ELATED WORK  To transmit gathered information to the BS some protocols uses single-hop communication and some protocols uses multi-hop communication. During communication single-hop communication observed a high quantity of energy and energy maintaining of nodes in the network may be nodes are farther to the BS contains large energy due to relation among needed energy to transmit the information and distance among source and destination. On other hand, multi-hop scheme also occur due to energy unmaintained. In this approach the nodes which are closer to BS have larger traffic load which occur due to degrading the energy rapidly. There are many different types of energy efficient clustering protocols designed among cluster based network frame. The LEACH[11] protocol defines energy utilization is same in all the nodes during selection of cluster heads and non-cluster heads as well as all non-head clusters gives their data to nearest cluster head. In LEACH protocol cluster head (CH) decision basically depend on the percentage of CHs for the network (resolute on priori) and the number of time that node has been CH so far. This evaluation is taken by the node n by selecting a random number between 0 and 1.If the selected number is less than a threshold T (n) ,the node  become Ch for the current round. The Th reshold [6, 9] is as:

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 International Journal of Review in Electronics and Communication Engineering

Volume 3, No 6 December 2015

©http://ijrece.org  e- ISSN: 2321-3159 p- ISSN: 2321-3140 Page 114

ZEEHC: Zone-Based Energy Efficient Hierarchal

Clustering Protocol for Wireless Sensor NetworksRamandeep Kaur

1, Nitin Mittal

1

Student,2

Assistant Professor,1,2Chandigarh University,Gharuan

[email protected]

[email protected]

Abstract  —   Wireless Sensor Network (WSN) is an emerging

technology with potential applications in the field of habitat

monitoring and industrial applications. Sensors monitor the

changes in a physical attribute of the surroundings such as

temperature and observe the collected data and transmit it to the

base station (BS). These sensors are mostly unattended, and their

limited battery life makes energy a precious resource that must

be utilized wisely. It is necessary to maintain the sensor network

for longer duration of time in an energy-efficient manner for

collection information. Hence, it is incessantly fascinating to

design protocols that prolong the network lifetime and which areenergy efficient protocol. This paper proposes a protocol refer to

as zone based energy efficient hierarchal clustering (ZEEHC)

protocol that splits the network into small zones and increases

lifetime of network. Multi-hop communication between CHs to

ZHs to base station is introduced to obtain minimum energy

consumption. Further, the results reveal that the proposed

algorithm considerably outperforms existing algorithm in terms

of energy optimization and system network.

Keywords: Clustering, SEECH, ZEEHC, Network lifetime,

Residual energy, WSN. 

I.  INTRODUCTION 

WSN is basically a collection of wireless nodes withlimited energy capabilities that may be static or dynamic and

are placed randomly on an energetically varying environment.

The routing strategies selection is a vital problem for the

efficient delivery of the packets to their destination.Additionally in such networks, the applied routing strategy

must ensure the minimum energy utilization in order to

maximize the network lifetime [1].

First WSN was implemented in the middle of the 70s by

the military and defense industries. During the Vietnam War,

WSN is used in order to bear the detection of enemies in

remote jungle areas. But their implementations had many

drawbacks including the large sensor size and higher energy

utilization and the limited network capability. Therefore alarge amount of work on the WSNs field has been taken out

resulting in the improvement of the WSNs on a large varietyof applications and systems with hugely varying requirements

and characteristics. In the mean time, various energy-efficient

routing protocols have been implemented and developed for

WSNs in order to maintain efficient data delivery to their

destination. As a result, each energy-efficient routing protocol

may have particular characteristics depending on theapplication and network architecture.

Routing protocols are one of the hub technologies in the

WSN. Routing is a complete challenge in WSN [2], due to its

intrinsic characteristics. Clustering is a well-know and

generally used tentative data transmission technique, and ismainly useful for such applications that require scalability tohundreds or thousands of nodes [3]. In clustering protocols,

the entire network is subdivided into clusters having cluster

members (CMs) and one cluster head (CH). All CMs transmit

their sensed data to CH and CH is responsible for long run

data transmission from cluster to BS. In this way, the energy

consumption using clustering approach is much lower than the

direct transmission. However, in clustering due to overburden

at the CH due to long transmission of data, CHs die out earlier.

In this paper, we propose a Zone based Energy Efficient

hierarchal Clustering (ZEEHC) protocol to maintain the

energy utilization among all nodes. The WSN is divided into

equal size of zone. ZEEHC helps to improve the networklifetime with low utilization of energy in the WSNs. The

clustering protocols are actually contains cross layering

techniques for scheming energy efficient hierarchal WSNs

[12] where the sensor nodes that belong to a CH and gives

their data to a nearest node to their cluster called CH and thenCH elected the useful data and gives aggregate data to the

relay node in the zone. The aggregated data is then transmitted

to BS by relay node using multi-hop communication. The

clustering schemes can raise network lifetime and better

energy efficiency by decreasing all of the energy consumption

and maintaining utilization belonging the nodes during the

network lifetime [13],[14]. The clustering based protocols are

explained according to the schemes they accept to selectcluster heads as well as communicating the aggregate

information to the base station.

II.  R ELATED WORK  

To transmit gathered information to the BS some protocols

uses single-hop communication and some protocols uses

multi-hop communication. During communication single-hop

communication observed a high quantity of energy and energy

maintaining of nodes in the network may be nodes are farther

to the BS contains large energy due to relation among needed

energy to transmit the information and distance among source

and destination. On other hand, multi-hop scheme also occur

due to energy unmaintained. In this approach the nodes whichare closer to BS have larger traffic load which occur due to

degrading the energy rapidly.

There are many different types of energy efficientclustering protocols designed among cluster based network

frame. The LEACH[11] protocol defines energy utilization is

same in all the nodes during selection of cluster heads and

non-cluster heads as well as all non-head clusters gives their

data to nearest cluster head. In LEACH protocol cluster head(CH) decision basically depend on the percentage of CHs for

the network (resolute on priori) and the number of time that

node has been CH so far. This evaluation is taken by the node

n  by selecting a random number between 0 and 1.If the

selected number is less than a threshold T (n) ,the node become Ch for the current round. The Threshold [6, 9] is as: 

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Ramandeep Kaur , et al International Journal of Review in Electronics and Communication Engineering [Volume 3, Issue 6, December 2015]

©http://ijrece.org  e- ISSN: 2321-3159 p- ISSN: 2321-3140 Page 115

 

 The cluster head forward the accumulated data to the sink

or destination. The HEED protocol using a multi-hop

communication scheme in which cluster head selects

according to the residual energy as well as lower power stage

required by a node to transfer the information with its clusterhead and cluster head gives their data to base station [10]. InEECS, aggressive allotment of clusters takes place which is

established on cluster distance from the main station. The

conclusion is an innovation that dwelling the obstacle that

clusters at a highest distance from the sink lack more power

for communication than those that are nearest. Basically it

contribute same dissemination of power in the networks,

appear in network lifetime. SEECH is a scalable energy

efficient clustering hierarchical protocol which employs a

hierarchal clustering. In SEECH, divide area into three regions

as well as all the nodes are randomly deployed in a given

regions. After that we calculate degree of nodes(degree means

distance between each node according to region).If the probability of tentative cluster head ( ) and relay head (  )is less than random value on the basis of degree of node

(nodes with larger degrees are more appropriate choices for

cluster head and relay head ) select as tentative cluster headand relay head. If the probability of tentative cluster head and

relay head is greater than random value than calculate the

score of all nodes (score is defined as product of distance of all

the nodes from their respective cluster head and relay head)

and nodes having minimum score select as actual cluster head

and relay head. SEECH is a scalable energy efficientclustering hierarchical protocol which employs a hierarchal

clustering. In SEECH, divide area into three regions as well as

all the nodes are randomly deployed in a given regions. After

that we calculate degree of nodes(degree means distance

 between each node according to region).If the probability of

tentative cluster head ( ) and relay head (  ) is less than

random value on the basis of degree of node (nodes with larger

degrees are more appropriate choices for cluster head and

relay head ) select as tentative cluster head and relay head. If

the probability of tentative cluster head and relay head is

greater than random value than calculate the score of all nodes(score is defined as product of distance of all the nodes from

their respective cluster head and relay head) and nodes having

minimum score select as actual cluster head and relay head.

 Eresi≥ Eav ( 1 −  λ)

0 else (1) 

 pc−tot =  ) (2)

 Eresi≥ Eav ( 1 −  λ)

0 else (3) 

 pr −tot =    (4)

The remainder of this paper is presented as follows:

Section 1 describes the SEECH protocol. Section 2 describes

network model and assumptions. Section 3 describes the

ZEEHC protocol in detail and Section 4 evaluates the ZEEHC

 protocol performance using simulation results and finally

section concludes the paper.

III. ENERGY DISSIPATION R ADIO MODEL 

We assume a simple model shown in Fig.1. for the radio

hardware energy dissipation where the transmitter dissipates

energy to run the radio electronics and the power amplifier,

and the receiver dissipates energy to run the radio electronics.For the experiments described here only the free space channel

model is used. Thus, to transmit an l -bit message a distance d ,

the radio expends energy:

(l ,d) = (l  +l  d2) (5)

To receive this message, the radio expends energy:

 (l ) = l    (6)

IV. ZEEHC PROTOCOL 

In ZEEHC, area divided into zone and distributing thenodes in network area, ZEEHC starts working. Our work is

 based on the protocol SEECH can be extended to an enhanced

version of SEECH. Basically, we present a technique to grow

energy dissipation and long life of the network. Therefore, the

subsequent changes have made the energy hierarchy scalableclustering protocol (SEECH) to improve the adaptability and

 better the network lifetime.

1.  Model Architecture and Basic Assumptions

   Number of nodes is 100, 400, 1000 in the network for

three scenarios.

  Homogenous network consist by WSN.

  The BS is situated outside WSN.

 

Sensor nodes have same initial energy.

  All sensor nodes are stationary but BS is not

stationary.

  All nodes can forward data to ZH.

  Data compression is done by ZH.

  In first node, exclusive node has probability p of

 becoming the ZH.

   Nodes which have maximum energy in previous

round become tentative relay.

   Nodes which have minimum distance in previous

round become RH.

  Energy for transmission and reception is same for all

nodes.  Energy of transmission depend on the distance

(source to destination) and residual energy.

Transmitter

Circui

try

Transmitter

Ampli

fier

Receiver

Circui

try

k-bit

messag 

k-bit

messag

 

 

   

 

 

 

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©http://ijrece.org  e- ISSN: 2321-3159 p- ISSN: 2321-3140 Page 116

2. Proposed Algorithm.

The flowchart for the operation of ZEEHC is shown in Fig.

1. In this, each round repeats periodically having different 

 phases, as follows:

Phase I  –  Setup Phase: Network is practically separated into

4 zones. Each node generates a random probability( P ) at

 produce the initation of round and calculate the threshold

value T(n). New node check the energy of all nodes.The nodehaving maximum energy in previous round elect as RN(relay

node) and check the minimum distance from the BS. After that

the energy of new node in previous round is not equal torelay

node and having minimum distance from BS elect as ZH(zonehead).

In the steady-state phase:

After the completion of zone selection process, each

member sends its data and residual energy to the ZH. The ZH

maintains residual energy information of all the member nodes

and further send it to RN.

Phase I1 – 

  Pre-Setup Phase: The relay node sends BS themaximum residual energ value of nodes beloginig to its our

cluster when the last frame of round completes. BS finds the

maximum residual energy of the network and send back this

value to all ZH nodes in the network. ZH node further send thehighest value to all cluster nodes. Exclusive node save the

value of maximum residual energy for the next competition of

T(n) and the current round is completed.

1. 

 No. of zones=n2.  Divide into for equal zone

3.  for (zone=;zone>=n; zone++)

4.  Deploy sensor node each Zone

5.  end for

6.  Whi le (normal node = dead node)

7.  // Relay selection

8.  For (zone=;zone>=4;zone++)

9.  I f  (check node for Maxi. Energy in Previous node)

10.  Tentative relay node New Node

11.  I f  (New node Distance from B.S is mini. Previous

round )

12. 

Relay Node New Node13.  end if

14.  end if

15.  // Selection of Zone head

16.  I f (Energy of New node = max. energy of Previous

round )

17.   Normal Node ≠  relay Node ;

18.  I f (New node Di stance fr om B.S < Previous ZH

node Di stance fr om B.S )

19.   Normal Node New Node ;

20.  end if

21. 

end if22.  end whi le

23.  // ZH aggregate data sends direct from Node

to the data and send to zone relay node

24.  Relay node tx. data to BS using multi-

hopping to other relays. 25.  // check for alive and dead node

26.  If(Energy of node < 0)

27.  Dead node =dead node +1;

28.  end if

29.  Total Al ive node = Ali ve node – dead;

V.  PERFORMED EVALUATIONS AND R ESULTS 

In this paper we constraints on energy efficiency. Toevaluate protocol from energy efficiency we employed

lifetime criterion. There are many different kinds of definitions

for lifetime in literature. The simulation model and programs

are developed by MATLAB tool. The proposed scheme is

zone based energy efficiency protocol that improve network

lifetime in three different scene1, scene 2,scene 3.The

 performance of ZEEHC is compared to SEECH protocol in

three scenarios with different sizes; small, medium and large.

TABLE 1 defines the parameters of proposed scenes in details.

1.  Simulation Parameters

Table 1: Simulation Parameters

Parameter Scene 1 Scene 2 Scene 3

Area 100100  

100100   200200  

 No. of Nodes 100 400 1000

  0.5J 0.5J 1J

Radio electronics

energy, = 

50nJ/bit

Radio amplifier

energy,  

10 pJ/bit/

 

Radio amplifier

energy,  

0.0013

 pJ/bit/  

Energy for data-

aggregation,  

5 nJ/bit/signal

Data packet size 4000 bits

2.  Simulation ResultsEnergy efficient WSN deployment is not an easy task due

to the large number of parameters i.e. energy parameters, thenselecting the CH for the transmission process and their data.

MATLAB programming platform is used to encode the

SEECH and ZEEHC Ultimately, the comparative performance

of each algorithm is explained. The performance of ZEEHC

0 20 40 60 80 100 120 1400

10

20

30

40

50

60

70

80

90

100

BS

x-axis(m)

    y   -    a    x     i    s     (    m     )

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 protocol is explained in terms of network lifetime and stability

 period space (the time internal or the rounds before first node

dead) against the SEECH protocol. In this subsection is shown a comparison of the number of

alive nodes in scene 1, scene 2, and scene 3 for SEECH

Protocol and ZEEHC Protocol is presented. The CH 

distribution is needed in clustered WSN application. The intra-

cluster delay is maximum and proportionate to the size of the biggest cluster therefore maintaining cluster avoid increase of

delay and avoid large-distant communication between CH and

cluster member. To measure the quality of distribution for

CHs we use energy dissipation.

 A.   Energy Consumption

Energy consumption of protocol for scene 1

Energy consumption of protocol for scene 2

Energy consumption of protocol for scene 3

 B. 

 Alive nodesAlive nodes are those nodes whose battery is not

completely depleted. The evaluated results are shown below: 

The lifetime evaluation of protocol for scene 1 

The lifetime evaluation of protocol for scene 2

500 1000 1500 2000 2500

3.6

3.7

3.8

3.9

4

4.1

4.2

4.3

4.4

x 10-4

Round

   E  n  e  r  g  y   C  o  n  s  u  m  p   t   i  o  n

 

SEECH

ZEEHC

0 500 1000 1500 2000 2500

3.6

3.7

3.8

3.9

4

4.1

4.2

4.3

4.4

x 10-4

Round

   E  n  e  r  g  y   C  o  n  s  u  m  p   t   i  o  n

 

SEECH

ZEEHC

500 1000 1500 2000 2500

3.6

3.7

3.8

3.9

4

4.1

4.2

4.3

x 10-4

Round

   E  n  e  r  g  y   C  o  n  s  u  m

  p   t   i  o  n

 

SEECH

ZEEHC

0 500 1000 1500 2000 25000

10

20

30

40

50

60

70

80

90

100

Round

   N

   u   m   b   e   r   o   f   N   o   d   e   s   A   l   i   v   e

 

SEECH

ZEEHC

0 500 1000 1500 2000 25000

50

100

150

200

250

300

350

400

Round

   N   u   m   b   e   r   o   f   N   o   d

   e   s   A   l   i   v   e

 

SEECH

ZEEHC

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The lifetime evaluation of protocol for scene 3

C.   Network Lifetime:When any node in the network is dead, it is no longer the

 part of that network. This implies that if a dead node occurs in

early rounds of algorithm, it will affect the network. This may

also lead towards the early dead of all the nodes in thenetwork. In this simulation we have observed the first dead

node by keeping the base station position at (100,200) with

4000 packet size. Table 2 shows the values and Fig. 3

concludes that ZEEHC is better compared to LEACH

 protocol.

Table 2: Network Lifetime (First Node Dead, Average Node

Dead, Last Node Dead)

SCENE Protocol FND AND LND

Scene 1

(100 Node)

SEECH 832 1248 1220

ZEEHC 1163 2066 2320

Scene 2

(400 Node)

SEECH 1138 1562 1702

ZEEHC 1568 2105 2406

Scene 3

(1000

Node)

SEECH 1479 1710 1921

ZEEHC 2045 2368 2786

The lifetime of ZEEHC in Scene 1,Sene 2, scene 3,

The lifetime of ZEEHC in Scene (1) 

The lifetime of ZEEHC in Scene (2)

The lifetime of ZEEHC in Scene (3)

VI. CONCLUSION 

In Smart Space and Extreme environment intensity-awaredistributed sensor monitoring and data clustering is relevant to

save power. In WSNs, the important design issues in the

research of routing protocols are energy utilization and

network lifetime. A major challenge is to high the stability

 period in order to preserve the coverage area. In this paper, as

a zone three layers based intensity efficient hierarchy Protocol

(ZEEHC) clustering was proposed the member nodes wherethe network nodes, cluster heads and relay head categorized.

ZEEHC proposed protocol is a simple message of low

overhead approach for periodic information accumulated

applications in harsh and remote environments that extend

network lifetime more than SEECH protocols where network

longevity studied three scenarios. The simulation resultsshowed that ZEEHC protocol, the web of life is better than

SEECH. Also results showed that suits ZEEHC used for large

scale networks, which is a relevant issue for space and degree

of use. Simulation results demonstrated that for ZEEHC

 protocol, the network lifetime is 13%, 38%, 54% better than

SEECH protocol.

R EFERENCES 

[1]  K. V. Shukla, Chandaben Mohan Bahi, “Energy efficient routing protocol LEACH for wireless sensor network ”,  IEEE CommunicationsSurveys, vol.15,no.2, pp. 551-591, 2013.

[2] W. B.Heinzelman, A. P. Chandrakasan and H. Bala krishnan, “Anapplication-specific protocol architecture for wireless micro sensor

networks,” IEEE Transactions on Wireless Communication., vol. 1, no.4, pp. 660 – 670.

[3] V. Loci, G. Moabite, and S. Marino, “A two-level hierarchy for lowenergy adaptive clustering hierarchy ,”  IEEE Transaction Parallel Distributed System, vol. 3, no.2, pp. 1809 – 1813.

0 500 1000 1500 2000 25000

100

200

300

400

500

600

700

800

900

1000

Round

   N  u  m   b  e  r  o   f   N

  o   d  e  s   A   l   i  v  e

 

SEECH

ZEEHC

0

1000

2000

3000

4000

FND AND LND

   R   o   u   n    d   s

Scene 1

ZEEHC

SEECH

0

1000

2000

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4000

5000

FND AND LND

   R   o   u   n    d   s

Scene 2

ZEEHC

SEECH

0

1000

2000

3000

4000

5000

FND AND LND

   R   o   u   n    d   s

Scene 3

ZEEHC

SEECH

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[4] Chi-Stun Cheng, C. K. Toe and F. C. M. Lau, “A clustering algorithmfor wireless sensor networks based on social insect colonies,”  IEEESensors Journals, vol. 11, no. 3, pp. 711 – 721, 2011. 

[5]  N. Dimokas, D. Katsaros and Y. Manolopoulos, “Energy-efficientdistributed clustering in wireless sensor networks,”  IEEE Transactionson Parallel and Distributed Systems, vol. 70, no. 4, pp. 371 – 385, 2010.

[6]  N. A. Pantazis, S. A. Nikolakakos, and D. D. Vergados, “Energy-efficient routing protocols in wireless sensor networks: A survey ,” IEEECommunication Surveys, vol. 15, no. 2, pp. 551 – 591, 2013.

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