Energy‐efficient radio resource allocation in software‐defined wireless sensor networks. Issue 3 (15th February 2018)

• Record Type: Journal Article
• Authors: Zhang, Yueyue; Zhu, Yaping; Yan, Feng; Xia, Weiwei; Shen, Lianfeng
• Is Part Of: IET communications. Volume 12:Issue 3(2018)
• Page Start: 349
• Page End: 358
• Publication Date: 2018-02-15
• Subjects: bandwidth allocation -- relaxation theory -- mathematical programming -- quality of service -- minimisation -- energy consumption -- software defined networking -- wireless sensor networks -- telecommunication power management -- resource allocation -- energy conservation; energy‐efficient radio resource allocation -- software‐defined wireless sensor networks -- sensor node energy limitation -- fast node reconstruction -- dynamical resource allocation -- SDWSN -- central controller -- energy consumption minimisation -- quality of service constraint -- initial optimisation problem -- semidefinite relaxation -- centralised adaptive bandwidth and power allocation -- CABPA -- OpenFlow‐based scheme -- centralised resource allocation -- distributed scheme; Telecommunication systems -- Periodicals; Speech processing systems -- Periodicals; 621.38205
• DOI: 10.1049/iet-com.2017.0937
• Languages: English
• ISSNs: 1751-8628

Abstract

Abstract : The software‐defined wireless sensor networks (SDWSNs) have been proposed recently to solve the energy limitation of sensor nodes and extend the lifetime of the wireless sensor networks by fast node reconstruction and dynamical resource allocation. In this study, the authors investigate an energy‐efficient resource allocation algorithm in SDWSNs, in which radio resource allocation could be handled at central controllers with powerful storage and computation capacity. In this algorithm, the authors formulate an optimisation problem to minimise the energy consumption, under the individual constraint of quality of service. Then, the initial optimisation problem is transformed using semidefinite relaxation, to achieve centralised adaptive bandwidth and power allocation (CABPA). Additionally, two special cases are derived to reveal the performance of the CABPA. Furthermore, an OpenFlow‐based scheme is proposed for information exchanging and updating to realise the centralised resource allocation. Meanwhile, a distributed scheme with limited information about the whole network is developed to serve as a performance benchmark for the CABPA in the SDWSN. Finally, the simulation results reveal that the proposed CABPA performs better than the other algorithms, and it balances the power and bandwidth utilisation.