DAMS: Data aggregation using mobile sink in wireless sensor networks
Conference
Prathima, EG, Laxmikant, H, Naveen, SA et al. (2017). DAMS: Data aggregation using mobile sink in wireless sensor networks
. Part F128004 6-11. 10.1145/3057109.3057118
Prathima, EG, Laxmikant, H, Naveen, SA et al. (2017). DAMS: Data aggregation using mobile sink in wireless sensor networks
. Part F128004 6-11. 10.1145/3057109.3057118
WSNs consist of resource constrained sensor nodes that monitor the physical environment and transmit their data to the Sink through multi-hop communication. Mobile sinks are used to reduce the number of hops the data travels and thereby reducing the overall energy consumption. In this paper we propose Data Aggregation using Mobile Sink (DAMS) protocol that allows the mobile sink to collect data from WSNs where path of the mobile sink is not known apriori. The mobile sink halts at a point in the network and broadcasts an aggregate query. The average path length of a data packet is a constant in DAMS and hence it can withstand node failures. The performance analysis shows that DAMS incurs less energy consumption and improved packet delivery ratio in comparison to SinkTrail [1].
