Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2018, Vol. 41 ›› Issue (3): 101-106.doi: 10.13190/j.jbupt.2017-202

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A Self-Organized Clustering Algorithm Based on Computation and Transmission Node for WSN

XUE Han-han, WANG Bai, ZHANG Lei, HUANG Hai   

  1. School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2017-09-22 Online:2018-06-28 Published:2018-06-04

Abstract: A self-organized clustering algorithm based on computation node and transmission node (SCATN) for wireless sensor network (WSN) was proposed to satisfy computation requirement and solve the problem of hot spot and energy hole caused by cluster head overload. SCATN employs computation node and transmission node to undertake the cluster head's function data computation and transmission. The distribution probability of functional nodes is controlled to tackle with the problems raised. The generation and distribution of functional node is controlled by self-organized manner to solve the problem of distribution and connection. The ordinary nodes choose its belonged cluster to adjust the computation node's load. Simulation indicates that SCATN can effectively extend the network lifetime, improve the throughput at the sink and decrease the packet loss rate in comparison with several existing clustering algorithms.

Key words: wireless sensor network, self-organized clustering, hot spot, energy hole

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