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DS Evidence Theory-Based Energy Balanced Routing Algorithm for Network Lifetime Enhancement in WSN-Assisted IOT

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China, Electric Power University, Beijing 102206, China
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Algorithms 2020, 13(6), 152; https://doi.org/10.3390/a13060152
Received: 25 May 2020 / Revised: 16 June 2020 / Accepted: 22 June 2020 / Published: 24 June 2020
(This article belongs to the Section Combinatorial Optimization, Graph, and Network Algorithms)
Wireless sensor networks (WSNs) can provide data acquisition for long-term environment monitoring, which are important parts of Internet of Things (IoT). In the WSN-assisted IoT, energy efficient routing algorithms are required to maintain a long network lifetime. In this paper, a DS evidence theory-based energy balanced routing algorithm for network lifetime enhancement (EBRA-NLE) in WSN-assisted IOT is proposed. From the perspective of energy balance and minimization of routing path energy consumption, three attribute indexes are established to evaluate the forward neighboring nodes. Then a route selection method based on DS evidence theory is developed to comprehensively evaluate the nodes and select the optimal next hop. In order to avoid missing the ideal solution because of the excessive difference between the index values, the sine function is used to adjust this difference. The simulation results show that the proposed EBRA-NLE has certain advantages in prolonging network lifetime and balancing energy between nodes. View Full-Text
Keywords: wireless sensor networks; Internet of Things (IOT); routing; DS evidence theory; prolong network lifetime wireless sensor networks; Internet of Things (IOT); routing; DS evidence theory; prolong network lifetime
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Tang, L.; Lu, Z. DS Evidence Theory-Based Energy Balanced Routing Algorithm for Network Lifetime Enhancement in WSN-Assisted IOT. Algorithms 2020, 13, 152.

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