International Journal of Intelligent Systems and Applications(IJISA)
ISSN: 2074-904X (Print), ISSN: 2074-9058 (Online)
Published By: MECS Press
IJISA Vol.9, No.9, Sep. 2017
Self-Load Balanced Clustering Algorithm for Routing in Wireless Sensor Networks
Full Text (PDF, 1094KB), PP.46-57
Energy-efficient routing is an extremely critical issue in unattended, tiny and battery equipped Wireless Sensor Networks (WSNs). Clustering the network is a promising approach for energy aware routing in WSN, as it has a hierarchical structure. The Connected Dominating Set (CDS) is an appropriate and prominent approach for cluster formation. This paper proposes an Energy-efficient Self-load Balanced Clustering algorithm (SLBC) for routing in WSN. SLBC has two phases: The first phase clusters the network by constructing greedy connected dominating set and the nodes are evenly distributed among them, using the defined parent ﬁtness cost. The second phase performs data manipulations and new on-demand re-clustering. The efficiency of the proposed algorithm is analysed through simulation study. The obtained results show that SLBC outperforms than the recent algorithms like GSTEB and DGA-EBCDS in terms of network lifetime, CDS size, load dissemination, and efficient energy utilization of the network.
Cite This Paper
Sivaraj Chinnasamy, Alphonse P J A, Janakiraman T N, "Self-Load Balanced Clustering Algorithm for Routing in Wireless Sensor Networks", International Journal of Intelligent Systems and Applications(IJISA), Vol.9, No.9, pp.46-57, 2017. DOI: 10.5815/ijisa.2017.09.06
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