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Hybrid Indirect Transmissions (HIT) for Data Gathering in Wireless Micro Sensor Networks with Biomedical Applications Jack Culpepper(NASA), Lan Dung, Melody Moh CCW 2003 , IEEE Speaker : Chi-Chih Wu

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Page 1: Hybrid Indirect Transmissions (HIT) for Data Gathering in Wireless Micro Sensor Networks with Biomedical Applications Jack Culpepper(NASA), Lan Dung, Melody

Hybrid Indirect Transmissions (HIT) for Data Gathering in Wireless Micro Sensor Networks with Biomedical Applications

Jack Culpepper(NASA), Lan Dung, Melody Moh

CCW 2003 , IEEE

Speaker : Chi-Chih Wu

Page 2: Hybrid Indirect Transmissions (HIT) for Data Gathering in Wireless Micro Sensor Networks with Biomedical Applications Jack Culpepper(NASA), Lan Dung, Melody

Outline

• INTRODUCTION• BASIC MODELS• PROTOCOL DESCRIPTION• PERFORMANCE EVALUATION• CONCLUSION

Page 3: Hybrid Indirect Transmissions (HIT) for Data Gathering in Wireless Micro Sensor Networks with Biomedical Applications Jack Culpepper(NASA), Lan Dung, Melody

INTRODUCTION

• Micro sensors• The consumers of power

• Data processing• Communications

• Major consumer of power• Communications

• Most energy expensive applications• Remote sensing

Page 4: Hybrid Indirect Transmissions (HIT) for Data Gathering in Wireless Micro Sensor Networks with Biomedical Applications Jack Culpepper(NASA), Lan Dung, Melody

H

BS

INTRODUCTION

• Current remote sensing routing protocols increase efficiency• data fusion• power management systems• clustering• chaining

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y

xB

BS

Page 5: Hybrid Indirect Transmissions (HIT) for Data Gathering in Wireless Micro Sensor Networks with Biomedical Applications Jack Culpepper(NASA), Lan Dung, Melody

INTRODUCTION

• W. Heinzelman et al , “Energy-Efficient Communication Protocol for Wireless Microsensor Networks” (LEACH)• Each node has a probability p of

becoming a cluster-head• the protocol guarantees that every

node will be cluster-head only once in 1/p rounds

HH

BS

Page 6: Hybrid Indirect Transmissions (HIT) for Data Gathering in Wireless Micro Sensor Networks with Biomedical Applications Jack Culpepper(NASA), Lan Dung, Melody

INTRODUCTION

• Stephanie Lindsey and Cauligi S. Raghavendra , “PEGASIS:Power Efficient Gathering in Sensor Information Systems”• Chains of nodes are computed using a gr

eedy algorithm• Chain leaders are elected to fuse data an

d transmit the result to BS

Page 7: Hybrid Indirect Transmissions (HIT) for Data Gathering in Wireless Micro Sensor Networks with Biomedical Applications Jack Culpepper(NASA), Lan Dung, Melody

INTRODUCTION

• Features of HIT• Utilizing one or more clusters to reduce the

number of transmissions to the remote base station

• Parallel, multi-hop indirect transmissions even in the presence of multiple, adjacent clusters

• Goals• Minimize energy consumption• Minimize network delay

Page 8: Hybrid Indirect Transmissions (HIT) for Data Gathering in Wireless Micro Sensor Networks with Biomedical Applications Jack Culpepper(NASA), Lan Dung, Melody

BASIC MODELS

• Data Delivery Model• Radio Model• Analysis of Direct versus Indirect

Transmissions• Parallel Transmissions• Analysis of TDMA versus CSMA

Page 9: Hybrid Indirect Transmissions (HIT) for Data Gathering in Wireless Micro Sensor Networks with Biomedical Applications Jack Culpepper(NASA), Lan Dung, Melody

Data Delivery Model

• Sensor networks can be classified in terms of the data delivery required• Continuous (HIT based)• Event-driven• Observer-initiated• Hybrid

Page 10: Hybrid Indirect Transmissions (HIT) for Data Gathering in Wireless Micro Sensor Networks with Biomedical Applications Jack Culpepper(NASA), Lan Dung, Melody

Radio Model

• A radio transceiver dissipates• Eelec = 50 nJ/bit

Page 11: Hybrid Indirect Transmissions (HIT) for Data Gathering in Wireless Micro Sensor Networks with Biomedical Applications Jack Culpepper(NASA), Lan Dung, Melody

Analysis of Direct versus Indirect Transmissions

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• Energy Saving

Page 12: Hybrid Indirect Transmissions (HIT) for Data Gathering in Wireless Micro Sensor Networks with Biomedical Applications Jack Culpepper(NASA), Lan Dung, Melody

Parallel Transmissions

• Parallel indirect transmissions• Use intelligent scheduling algorithm

(TDMA)• Achieves lower delay than LEACH

H H

Page 13: Hybrid Indirect Transmissions (HIT) for Data Gathering in Wireless Micro Sensor Networks with Biomedical Applications Jack Culpepper(NASA), Lan Dung, Melody

Analysis of TDMA versus CSMA• CSMA wastes energe versus TDMA

• Collisions• Overhearing• Control packet overhead• Idle listening

• Advantages of TDMA• No collisions• Little overhead• High energy efficient

• Disadvantages of TDMA• Time synchronization• It is difficult to change the TDMA schedule

Page 14: Hybrid Indirect Transmissions (HIT) for Data Gathering in Wireless Micro Sensor Networks with Biomedical Applications Jack Culpepper(NASA), Lan Dung, Melody

PROTOCOL DESCRIPTION

• HIT is consisting of two periods• Cluster setup• Long steady state

Page 15: Hybrid Indirect Transmissions (HIT) for Data Gathering in Wireless Micro Sensor Networks with Biomedical Applications Jack Culpepper(NASA), Lan Dung, Melody

PROTOCOL DESCRIPTION

• HIT makes the following assumptions• Nodes are distributed randomly• Nodes are able to communicate by CSMA• the result of n fusions will be independent of

n, and be no more than a constant multiple of s

• Nodes are able to estimate distances• Each sensor node has a unique node ID

Page 16: Hybrid Indirect Transmissions (HIT) for Data Gathering in Wireless Micro Sensor Networks with Biomedical Applications Jack Culpepper(NASA), Lan Dung, Melody

PROTOCOL DESCRIPTION

• HIT protocol consists of the following phases• Cluster-Head Election• Cluster-Head Advertisement• Cluster Setup• Route Setup• Blocking Set Computation• MAC Schedule Creation• Data Transmission

Page 17: Hybrid Indirect Transmissions (HIT) for Data Gathering in Wireless Micro Sensor Networks with Biomedical Applications Jack Culpepper(NASA), Lan Dung, Melody

Cluster-Head Election

• Election Scheme I(a)• single cluster• nodes take as cluster-head turn in order of node

ID• Election Scheme I(b)

• single cluster• nodes take turn as cluster-head, some nodes m

ay not ever be cluster-head (lower levels of connectivity or energy)

Page 18: Hybrid Indirect Transmissions (HIT) for Data Gathering in Wireless Micro Sensor Networks with Biomedical Applications Jack Culpepper(NASA), Lan Dung, Melody

Cluster-Head Election

• Election Scheme II(a)• multiple clusters• nodes are elected randomly (LEACH)

• Election Scheme II(b):• multiple clusters• nodes are elected randomly, some nodes may n

ot ever be cluster-head (lower levels of connectivity or energy)

Page 19: Hybrid Indirect Transmissions (HIT) for Data Gathering in Wireless Micro Sensor Networks with Biomedical Applications Jack Culpepper(NASA), Lan Dung, Melody

Cluster-Head Advertisement(CSMA/CD)• <MsgType=Advertise, source-id = H>• Cluster-heads broadcast their status at the

fixed power with the message• Non-cluster-heads then compute the distance t

o the clusterhead and save the value as D(H, j)

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h

b

D(H,j)H-id

Page 20: Hybrid Indirect Transmissions (HIT) for Data Gathering in Wireless Micro Sensor Networks with Biomedical Applications Jack Culpepper(NASA), Lan Dung, Melody

Cluster Setup

• one or more clusters will be formed, and the upstream and downstream relationship will be created.• <MsgType = Member, source-id = j, D(H, j)>• each node has only one upstream neighbor• d(u, H) < d(i, H) , d(i, u) < d(i, H)

Page 21: Hybrid Indirect Transmissions (HIT) for Data Gathering in Wireless Micro Sensor Networks with Biomedical Applications Jack Culpepper(NASA), Lan Dung, Melody

H

e

f

g

h

b

ij

d

k

c

H

e

f

g

h

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Cluster Setup

D(H,j)id

D(j,uj)

d(u, H) < d(i, H) , d(i, u) < d(i, H)

Page 22: Hybrid Indirect Transmissions (HIT) for Data Gathering in Wireless Micro Sensor Networks with Biomedical Applications Jack Culpepper(NASA), Lan Dung, Melody

Route Setup

• all nodes broadcast its upstream neighbor’s information• <MsgType = MyUpstream,

source-id = j, upstream-id = uj, d(j,uj) >• it adds i to its list of downstream neighbors for j, D

OWN(j)

Source-idUpstream-idD(j,uj)

Page 23: Hybrid Indirect Transmissions (HIT) for Data Gathering in Wireless Micro Sensor Networks with Biomedical Applications Jack Culpepper(NASA), Lan Dung, Melody

Blocking Set Computation

• each node computes the blocking set for its downstream neighbors• we say node i blocks node j if and only if d(i, ui) > d

(i, uj)• i blocks j does not necessarily imply that j blocks I• <MsgType = Blockdown, node-id, blocklist>• each downstream neighbor of j blocks all other do

wnstream neighbors of j

10

8

Page 24: Hybrid Indirect Transmissions (HIT) for Data Gathering in Wireless Micro Sensor Networks with Biomedical Applications Jack Culpepper(NASA), Lan Dung, Melody

MAC Schedule Setup

Page 25: Hybrid Indirect Transmissions (HIT) for Data Gathering in Wireless Micro Sensor Networks with Biomedical Applications Jack Culpepper(NASA), Lan Dung, Melody

MAC Schedule Setup

Page 26: Hybrid Indirect Transmissions (HIT) for Data Gathering in Wireless Micro Sensor Networks with Biomedical Applications Jack Culpepper(NASA), Lan Dung, Melody

Data Transmission

• <MsgType=Data, source-id, destination-id, payload>

• This phase does not require the use of a CDMA code

Page 27: Hybrid Indirect Transmissions (HIT) for Data Gathering in Wireless Micro Sensor Networks with Biomedical Applications Jack Culpepper(NASA), Lan Dung, Melody

PERFORMANCE EVALUATION• All nodes were bestowed with 20 J of initial energy,• round was fixed at 10,000.• The data rate of the wireless net-work is 1 Mbit/s,• the coordinates for the base station are (l/2,-200),• The average size of a sensor data item, a 50-bit pac

ket• For LEACH and HITm, we specified that 1% of the n

odes would be elected cluster-heads

Page 28: Hybrid Indirect Transmissions (HIT) for Data Gathering in Wireless Micro Sensor Networks with Biomedical Applications Jack Culpepper(NASA), Lan Dung, Melody

PERFORMANCE EVALUATION

Page 29: Hybrid Indirect Transmissions (HIT) for Data Gathering in Wireless Micro Sensor Networks with Biomedical Applications Jack Culpepper(NASA), Lan Dung, Melody

PERFORMANCE EVALUATION

Page 30: Hybrid Indirect Transmissions (HIT) for Data Gathering in Wireless Micro Sensor Networks with Biomedical Applications Jack Culpepper(NASA), Lan Dung, Melody

PERFORMANCE EVALUATION

Page 31: Hybrid Indirect Transmissions (HIT) for Data Gathering in Wireless Micro Sensor Networks with Biomedical Applications Jack Culpepper(NASA), Lan Dung, Melody

PERFORMANCE EVALUATION

Page 32: Hybrid Indirect Transmissions (HIT) for Data Gathering in Wireless Micro Sensor Networks with Biomedical Applications Jack Culpepper(NASA), Lan Dung, Melody

PERFORMANCE EVALUATION

Page 33: Hybrid Indirect Transmissions (HIT) for Data Gathering in Wireless Micro Sensor Networks with Biomedical Applications Jack Culpepper(NASA), Lan Dung, Melody

PERFORMANCE EVALUATION

Page 34: Hybrid Indirect Transmissions (HIT) for Data Gathering in Wireless Micro Sensor Networks with Biomedical Applications Jack Culpepper(NASA), Lan Dung, Melody

CONCLUSION

• We introduce a hybrid clustering and indirect transmission scheme for micro sensor networks

• The novel feature of parallel indirect transmissions and the complete protocol including phases of clustering, routing, and scheduling

• Performance evaluations showed that HIT provides energy savings over LEACH, PEGASIS, and Direct

• HIT also greatly reduces the delay

Page 35: Hybrid Indirect Transmissions (HIT) for Data Gathering in Wireless Micro Sensor Networks with Biomedical Applications Jack Culpepper(NASA), Lan Dung, Melody

THANK YOU