An Effective Clustering Approach with Data Aggregation Using Multiple Mobile Sinks for Heterogeneous WSN

Wireless Sensor Networks (WSNs) mostly uses static sink to collect data from the sensor nodes randomly deployed in the sensor region. In the static sink based approach, the data packets are flooded across the network to reach the mobile base station in multi-hop communication. Due to this, the stati...

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Veröffentlicht in:Wireless personal communications 2016-09, Vol.90 (2), p.423-434
Hauptverfasser: Muthu Krishnan, A., Ganesh Kumar, P.
Format: Artikel
Sprache:eng
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Zusammenfassung:Wireless Sensor Networks (WSNs) mostly uses static sink to collect data from the sensor nodes randomly deployed in the sensor region. In the static sink based approach, the data packets are flooded across the network to reach the mobile base station in multi-hop communication. Due to this, the static sink is inefficient in energy utilization. Recently, mobile sink are used for data gathering, has less energy utilization which in turn increases the network lifetime. Thus, the sink mobility has difficulties in finding the routing path for the data packets. This paper proposes an effective clustering approach with data aggregation using multiple mobile sinks for heterogeneous WSN. The proposed algorithm achieves network lifetime increases with limited energy utilization.
ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-015-2998-6