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An Optimal Clustering Routing Algorithm for Wireless Sensor Networks with Small-World Property

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Abstract

In the wireless sensor networks, deploying a small amount of heterogeneous nodes which directly communicate with the Sink node, can form shortcuts. The shortcuts can make the network to have small-world properties, which can save energy and improve network performance. In the large-scale networks, the optimal deployment of heterogeneous nodes is a NP-hard problem. Considering the total energy consumption of the network and the uniformity of each node energy consumption, this paper presents a clustering heterogeneous network routing algorithm which based on mixed integer programming (CHNMIP). Firstly, the algorithm supposes that the heterogeneous nodes can only be placed in the position of the common nodes and converts the optimal deployment of heterogeneous nodes into a mixed integer programming problem, and finds out the approximate optimal solution using Lagrangian relaxation and Benders decomposition algorithm. Then, it dynamically divides common nodes into clusters, and sets the appropriate transmission. Finally, it theoretically analyzes the performance of CHNMIP routing algorithm, and the simulation results also show that CHNMIP routing algorithm can better improve the network performance in different simulation environment.

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Acknowledgements

The work was supported by the National Natural Science Foundation (NSF) under Grants (Nos. 61672397, 61472294), the Jiangsu Key Laboratory of Image and Video Understanding for Social Safety (Nanjing University of Science and Technology), Grant No. 30916014107, Program for the High-end Talents of Hubei Province. Any opinions, findings and conclusions are those of the authors and do not necessarily reflect the views of the above agencies.

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Authors and Affiliations

  1. School of Computer Science and Technology, Wuhan University of Technology, Wuhan, 430063, China

    Li Chunlin, Li Layuan & Wang Xiangli

  2. Jiangsu Key Laboratory of Image and Video Understanding for Social Safety, Nanjing University of Science and Technology, Nanjing, 210094, China

    Li Chunlin

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  1. Li Chunlin
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  2. Li Layuan
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Correspondence to Li Layuan.

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Chunlin, L., Layuan, L. & Xiangli, W. An Optimal Clustering Routing Algorithm for Wireless Sensor Networks with Small-World Property. Wireless Pers Commun 96, 2983–2998 (2017). https://doi.org/10.1007/s11277-017-4335-8

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  • DOI: https://doi.org/10.1007/s11277-017-4335-8

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