Abstract
In energy-constrained wireless sensor networks, low energy utilization and unbalanced energy distribution are seriously affecting the operation of the network. Therefore, efficient and reasonable routing algorithms are needed to achieve higher Quality of Service (QoS). For the Dempster–Shafer (DS) evidence theory, it can fuse multiple attributes of sensor nodes with reasonable theoretical deduction and has low demand for prior knowledge. Based on the above, we propose an energy efficient and reliable routing algorithm based on DS evidence theory (DS-EERA). First, DS-EERA establishes three attribute indexes as the evidence under considering the neighboring nodes’ residual energy, traffic, the closeness of its path to the shortest path, etc. Then we adopt the entropy weight method to objectively determine the weight of three indexes. After establishing the basic probability assignment (BPA) function, the fusion rule of DS evidence theory is applied to fuse the BPA function of each index value to select the next hop. Finally, each node in the network transmits data through this routing strategy. Theoretical analysis and simulation results show that DS-EERA is promising, which can effectively prolong the network lifetime. Meanwhile, it can also reach a lower packet loss rate and improve the reliability of data transmission.
Highlights
With the development of efficient wireless communication and the progress of electronic information technology, the wireless sensor network (WSN) is widely used in various fields because of its low cost, miniaturization and multi-function characteristics [1,2,3,4]
In order to improve the energy efficiency, prolong the network lifetime and increase the reliability of data transmission, we propose an energy-efficient and reliable routing algorithm based on Dempster–Shafer (DS) evidence theory (DS-EERA) by adopting multi-attribute decision-making method
In the DS-EERA proposed in this paper, based on DS evidence theory, we consider multiple factors affecting energy efficiency and reliability, and integrate the credibility and fuzzy information of nodes attributes to achieve optimal routing decisions
Summary
With the development of efficient wireless communication and the progress of electronic information technology, the wireless sensor network (WSN) is widely used in various fields because of its low cost, miniaturization and multi-function characteristics [1,2,3,4]. An efficient routing strategy is needed to minimize network energy consumption and prolong the network lifetime. In the energy-constrained sensor network, a large amount of data is transmitted from the source node to sink by “many-to-one”. Sci. 2020, 10, 1885 the network will generate unnecessary energy consumption and increase transmission delay due to data retransmission, which will reduce energy utilization. In order to improve the energy efficiency, prolong the network lifetime and increase the reliability of data transmission, we propose an energy-efficient and reliable routing algorithm based on Dempster–Shafer (DS) evidence theory (DS-EERA) by adopting multi-attribute decision-making method. The simulation results show that DS-EERA can reduce energy consumption effectively and prolong network lifetime in energy-constrained networks and achieve lower packet loss rate and increase the reliability of data transmission.
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