A Lifetime-Extending Deployment Strategy for Multi-Hop Wireless Sensor Networks
CNSR '06 Proceedings of the 4th Annual Communication Networks and Services Research Conference
Power-aware Node Deployment in Wireless Sensor Networks
SUTC '06 Proceedings of the IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing -Vol 1 (SUTC'06) - Volume 01
QoM and lifetime-constrained random deployment of sensor networks for minimum energy consumption
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Estimating Delay in a Data Forwarding Scheme for Defending Jamming Attack in Wireless Sensor Network
NGMAST '09 Proceedings of the 2009 Third International Conference on Next Generation Mobile Applications, Services and Technologies
IEEE Communications Magazine
Energy-balancing and lifetime enhancement of wireless sensor network with archimedes spiral
UIC'11 Proceedings of the 8th international conference on Ubiquitous intelligence and computing
A dynamic TDMA based scheme for securing query processing in WSN
Wireless Networks
Deployment strategy of WSN based on minimizing cost per unit area
Computer Communications
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Wireless sensor networks (WSNs) consist of a large number of small, battery-powered wireless sensor nodes and thereby constrained with energy resource. The network as a whole must minimize the energy usage in order to enable untethered and unattended operation for an extended period of time. One fundamental way of reducing such energy usage and enhancing lifetime is judicial placement of sensor nodes within the network area. The present work proposes a lifetime-enhancing node-deployment strategy. Primarily more nodes are deployed towards the sink exploiting the fact that more energy is drained out from the nodes close to the sink. Further, locations which are approximately equi-distant from the sink are assigned different classes of priorities according to their responsibility of forwarding data of nodes located in the neighbouring cells. The principle of this strategy is justified by Lemma and corresponding proof. Exhaustive simulation is conducted to observe the impact of node distribution on network lifetime. The result is compared with one of the existing deployment strategies, which shows our scheme outperforms the existing one in terms of network lifetime.