An Energy-Efficient Routing Algorithm for Software-Defined Wireless Sensor Networks

被引：100
|
作者：
Xiang, Wei [1 ,3 ,4 ,5 ,6 ]
Wang, Ning [2 ]
Zhou, Yuan [2 ,6 ]
机构：
[1] James Cook Univ, Coll Sci & Engn, Discipline Elect Syst & Internet Things Engn, Cairns, Qld 4870, Australia
[2] Tianjin Univ, Sch Elect & Informat Engn, Tianjin 300072, Peoples R China
[3] Nanyang Technol Univ, Singapore, Singapore
[4] Univ Mississippi, Oxford, MS USA
[5] Univ Hong Kong, Hong Kong, Hong Kong, Peoples R China
[6] Univ Southern Queensland, Sch Mech & Elect Engn, Toowoomba, Qld, Australia
来源：
IEEE SENSORS JOURNAL | 2016年 / 16卷 / 20期
基金：
中国国家自然科学基金;
关键词：
SDWSNs; sensing tasks; control nodes; residual energy; transmission distance; PSO; PROTOCOL;
D O I：
10.1109/JSEN.2016.2585019
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Recent significant research on wireless sensor networks (WSNs) has led to the widespread adoption of software-defined WSNs (SDWSNs), which can be reconfigured even after deployment. In this paper, we propose an energy-efficient routing algorithm for SDWSNs. In this algorithm, to make the network to be functional, control nodes are selected to assign different tasks dynamically. The selection of control nodes is formulated as an NP-hard problem, taking into consideration of the residual energy of the nodes and the transmission distance. To tackle the NP-hard problem, an efficient particle swarm optimization algorithm is proposed. Simulation results show that the proposed algorithm performs well over other comparative algorithms under various scenarios.
引用
收藏
页码：7393 / 7400
页数：8
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