A local dynamic cluster self-organization algorithm in wireless sensor networks for rainfall monitoring |
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Authors: | Wang Huibin Xu Lizhong Xiao Xianjian Fan Tanghuai Xu Feng |
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Affiliation: | 1. College of Computer & Information,Hohai University,Nanjing 210098,China;Institute of Communication & Info System Engineering,Hohai University,Nanjing 210098,China 2. College of Computer & Information,Hohai University,Nanjing 210098,China 3. Department of Computer Science & Technology,Nanchang Institute of Technology,Nanchang 330099,China |
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Abstract: | Wireless Sensor Networks for Rainfall Monitoring (RM-WSNs) is a sensor network for the large-scale regional and moving rainfall
monitoring, which could be controlled deployment. Delivery delay and cross-cluster calculation leads to information inaccuracy
by the existing dynamic collaborative self-organization algorithm in WSNs. In this letter, a Local Dynamic Cluster Self-organization
algorithm (LDCS) is proposed for the large-scale regional and moving target monitoring in RM-WSNs. The algorithm utilizes
the resource-rich node in WSNs as the cluster head, which processes target information obtained by sensor nodes in cluster.
The cluster head shifts with the target moving in chance and re-groups a new cluster. The target information acquisition is
limited in the dynamic cluster, which can reduce information across-clusters transfer delay and improve the real-time of information
acquisition. The simulation results show that, LDCS can not only relieve the problem of “too frequent leader switches” in
IDSQ, also make full use of the history monitoring information of target and continuous monitoring of sensor nodes that failed
in DCS. |
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Keywords: | Wireless Sensor Networks (WSNs) Rainfall Monitoring (RM) Self-organization Local dynamic cluster |
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