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A tree-based topology construction algorithm with probability distribution and competition in the same layer for wireless sensor network

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Abstract

Topology construction is an efficient strategy to save energy and extend lifetime in wireless sensor networks. In this paper, a theorem of probability distribution about the number of nodes in each layer is proposed and discussed with theoretical verification. Then a tree-based topology construction algorithm with probability distribution and competition in the same layer (PCLT) is proposed for reducing communication packets and energy consumption. PCLT calculates the weighted value of nodes through broadcasting messages and selects the best parent node using competition method in the same layer. Furthermore, the secondary waken strategy is given to make a decision of which node needs to be waken up in terms of its probability distribution. The effectiveness of the PCLT algorithm is verified by the simulation results. Compared with EECDS, A3 and EBCDS algorithms, it has competitive edges in number of backbone nodes, energy consumption, and number of messages as well as the network lifetime.

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Acknowledgments

This work is supported by the National Natural Science Foundation of China under Grant nos. 61304256, Zhejiang Provincial Natural Science Foundation of China (LQ13F030013, LQ16E080006), Zhejiang Provincial Public Technology Project (2016C33034), Young Researchers Foundation of Zhejiang Provincial Top Key Academic Discipline of Mechanical Engineering and Zhejiang Sci-Tech University Key Laboratory (ZSTUME01B15), New Century 151 Talent Project of Zhejiang Province, 521 Talent Project of Zhejiang Sci-Tech University, and Young and Middle-aged Talents Foundation of Zhejiang Provincial Top Key Academic Discipline of Mechanical Engineering.

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Hong, Z., Wang, R., Li, Xl. et al. A tree-based topology construction algorithm with probability distribution and competition in the same layer for wireless sensor network. Peer-to-Peer Netw. Appl. 10, 658–669 (2017). https://doi.org/10.1007/s12083-016-0514-8

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