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Article

An Equilibrium Strategy-Based Routing Optimization Algorithm for Wireless Sensor Networks

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China
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Sensors 2018, 18(10), 3477; https://doi.org/10.3390/s18103477
Received: 13 September 2018 / Revised: 12 October 2018 / Accepted: 14 October 2018 / Published: 16 October 2018
In energy-constrained wireless sensor networks (WSNs), the design of an energy-efficient smart strategy is a key to extend the network lifetime, but the unbalance of energy consumption and node load severely restrict the long-term operation of the network. To address these issues, a novel routing algorithm which considers both energy saving and load balancing is proposed in this paper. First of all, the transmission energy consumption, node residual energy and path hops are considered to create the link cost, and then a minimum routing graph is generated based on the link cost. Finally, in order to ensure the balance of traffic and residual energy of each node in the network, an “edge-cutting” strategy is proposed to optimize the minimum routing graph and turn it into a minimum routing tree. The simulation results show that, the proposed algorithm not only can balance the network load and prolong the lifetime of network, but meet the needs of delay and packet loss rate. View Full-Text
Keywords: wireless sensor networks; “edge-cutting” strategy; load balancing; energy saving; routing wireless sensor networks; “edge-cutting” strategy; load balancing; energy saving; routing
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MDPI and ACS Style

Tang, L.; Lu, Z.; Cai, J.; Yan, J. An Equilibrium Strategy-Based Routing Optimization Algorithm for Wireless Sensor Networks. Sensors 2018, 18, 3477. https://doi.org/10.3390/s18103477

AMA Style

Tang L, Lu Z, Cai J, Yan J. An Equilibrium Strategy-Based Routing Optimization Algorithm for Wireless Sensor Networks. Sensors. 2018; 18(10):3477. https://doi.org/10.3390/s18103477

Chicago/Turabian Style

Tang, Liangrui; Lu, Zhilin; Cai, Jinqi; Yan, Jiangyu. 2018. "An Equilibrium Strategy-Based Routing Optimization Algorithm for Wireless Sensor Networks" Sensors 18, no. 10: 3477. https://doi.org/10.3390/s18103477

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