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2014 IEEE 28th International Conference on Advanced Information Networking and Applications (AINA) (2014)
Victoria, BC, Canada
May 13, 2014 to May 16, 2014
ISSN: 1550-445X
ISBN: 978-1-4799-3629-8
pp: 657-664
Designing and development of energy effective path planning algorithm is very key research domain in order to tackle the issues of limited life-time for Wireless Sensor Networks (WSNs). So in WSNs, energy efficiency is major concern of researchers. Overall advancement in routing protocols prove that clustering is much better approach as compared to flat and location-based energy efficient routing protocols. Due to better performance, multiple energy efficient clustering routing protocols have been proposed. But existing clustering algorithms are centralized or distributed, which are not intelligent enough and do not produce hybrid cluster-head selection. In this paper, we propose a cluster structured path planning algorithm named, Hybrid Advance Distributed Centralized Clustering (HADCC) path planning energy efficient algorithm. HADCC proposed model is fascinated with hybrid cluster head selection algorithm. This hybrid algorithm makes decision of cluster head selection of nodes. In order to execute proposed model we have also proposed an advance network topology, in which the whole network region is divided into two physical levels. First physical level consists of a circular region, containing homogeneous normal nodes and all important Base Station. While, second physical level is outer region of the circle that contains advanced heterogeneous nodes. Simulation results indicate that HADCC prolongs the network lifetime as compared to existing advanced clustering routing protocols for both homogeneous and heterogeneous WSNs. HADCC outperforms in case of stability and network life time as compared to the existing clustering algorithms.
Clustering algorithms, Wireless sensor networks, Algorithm design and analysis, Base stations, Routing protocols, Network topology

M. Aslam et al., "HADCC: Hybrid Advanced Distributed and Centralized Clustering Path Planning Algorithm for WSNs," 2014 IEEE 28th International Conference on Advanced Information Networking and Applications (AINA), Victoria, BC, Canada, 2014, pp. 657-664.
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