editorial advances on software defined sensor, mobile, and...

EditorialAdvances on Software Defined Sensor,Mobile, and Fixed Networks

Luis Javier García Villalba,1 Jun Bi,2 Anura P. Jayasumana,3

and Ana Lucila Sandoval Orozco1

1The Complutense University, 28040 Madrid, Spain2Tsinghua University, Beijing 100084, China3Colorado State University, Fort Collins, CO 80523-1373, USA

Correspondence should be addressed to Luis Javier Garcıa Villalba; [email protected]

Received 13 March 2016; Accepted 14 March 2016

Copyright © 2016 Luis Javier Garcıa Villalba et al. This is an open access article distributed under the Creative CommonsAttribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work isproperly cited.

1. Introduction

The continued development of microelectromechanical sys-tems (MEMS) that continually record, process, and sendinformation has brought about a considerable increase inthe data traffic. In order to cover the increasing connectivityneeds, the new sensor and mobile devices use multiplenetwork infrastructures to send information (WiFi, 5G, LTE,WSN, and Bluetooth, among others). This new intercon-nected environment has led the origin of a new growingmarket scenario based on services and applications. However,the rigidity of actual network architectures, the dependencyon a specific manufacturer or service provider, and theclosed union between data and control planes in networkinfrastructures have limited the development applications interms of scalability, mobility, security, energy efficiency, andquality of service (QoS).

In this context, the novel concept of Software DefinedNetworking (SDN) can help solve these limitations. SDNallows the centralized control of the network behaviorthrough external software, separating the data and thecontrol plane in network devices. This new paradigm canbe extended to other network infrastructures, decouplingthe transmission and control plane in base stations, accesspoints, andwireless sensor agents.This new vision of softwaredefined heterogeneous network opens new opportunities toshare infrastructures and standardize interfaces, on-demandservices, network programmability, and optimization of

resources, novel services, and enhanced mechanisms fordynamic resource management. The present special issuereflects the last advances on research in the followingfields: Software Defined Sensor Networks (SDSN), SoftwareDefinedMobileNetworks (SDMN),Novel 5G, SDN andNFVarchitectures, and integration of software defined technolo-gies with traditional network architectures.

2. Related Works

M. M. Umar et al. presented a new hybrid routing pro-tocol, named as State-Aware Link Maintenance Approach(SALMA). SALMA is based on Dynamic Source Routing(DSR) and Optimized Link State Routing (OLSR) protocols.The work also focuses on the activeness of nodes in thenetwork operations and defines three states of nodes, that is,white, gray, and black.The work concludes that the proposedprotocol gives improvements in some quality of servicemetrics like lower delay than DSR, lower routing overheadthan OLSR, and lesser energy consumption by the networknodes.

P. Neves et al. proposed a novel EU H2020 SELFNETmanagement framework upon the Software Defined andVirtualized Network paradigms. The SELFNET referencearchitecture is divided into Infrastructure Layer, VirtualizedNetwork Layer, SON Control Layer, SON Autonomic Layer,NFV Orchestration and Management Layer, and Access

Hindawi Publishing CorporationInternational Journal of Distributed Sensor NetworksVolume 2016, Article ID 5153718, 2 pageshttp://dx.doi.org/10.1155/2016/5153718

2 International Journal of Distributed Sensor Networks

Layer. The present architecture is advancing in following thechallenging key performance indicator of the fifth generation(5G) system, where the network infrastructure becomesmore heterogeneous and complex. The framework will assistnetwork operators to simplify the key management tasksand save the man power. For example, SDN/NFV sensorsthat can monitor the network and SDN/NFV actuators thatcan perform corrective and preventive actions to mitigateexisting or potential network problems can be automaticallydeployed. SELFNET aims to address three major networkmanagement concerns, that is, providing self-protectioncapabilities against distributed cyber-attacks, self-healingcapabilities against network failures, and self-optimizationfeatures to dynamically improve the performance of thenetwork and the QoE of the end users.

T.-W. Um et al. proposed Software Defined Networking-(SDN-) based active content networking architecture forfuture media environments. The proposed architecture aimsto provide customized delivery of various types of mediacontent in order to satisfy users’ demand and service require-ments. To this end, the authors have developed an activecontent processingmodel which provides in-network contentprocessing through service objects that are integral parts ofactive content. The main benefits provided by the proposedmodel are high flexibility and creativity to meet the evolvingfuture media environments.

J. Nightingale et al. introduce the SELFNET 5G projectand describe the video streaming use case that will be usedto demonstrate the self-optimizing capabilities of SELFNET’sautonomic network management framework. SELFNET’sframework will provide an advanced self-organizing network(SON) underpinned by seamless integration of SoftwareDefined Networking (SDN), Network Function Virtualiza-tion (NFV), and network intelligence. The self-optimizationvideo streaming use case is going beyond traditional qualityof service approaches to network management. A set ofmonitoring and analysis components will facilitate a user-oriented, quality of experience (QoE), and energy-awareapproach. Firstly, novel SON Sensors will monitor bothtraditional network state metrics and new video and energyrelated metrics. The combination of these low level met-rics provides highly innovative health of network (HoN)composite metrics. HoN composite metrics are processedvia autonomous decisions not only maintaining but alsoproactively optimizing users’ video QoE while minimizingthe end-to-end energy consumption of the 5G network. Thiscontribution provided a detailed technical overview of thisambitious use case.

R. Huang et al. presented a software defined WSN(SDWSN) prototype to improve the energy efficiency andadaptability of WSNs for environmental monitoring applica-tions, taking into account the constraints ofWSNs in terms ofenergy, radio resources, and computational capabilities andthe value redundancy and distributed nature of data flowsin periodic transmissions for monitoring applications. Thedesign enables a reinforcement learning based mechanismto perform value redundancy filtering and load-balancingrouting according to the values and distribution of data flows,respectively, in order to improve the energy efficiency and

self-adaptability to environmental changes for WSNs. Theoptimal matching rules in flow table are designed to curbthe control signaling overhead and balance the distribution ofdata flows for achieving in-network fusion in data plane withguaranteed quality of service (QoS). Experiment results showthat the proposed SDWSN prototype can effectively improvethe energy efficiency and self-adaptability of environmentalmonitoring WSNs with QoS.

Luis Javier Garcıa VillalbaJun Bi

Anura P. JayasumanaAna Lucila Sandoval Orozco

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