An Incremental Self-Deployment Algorithm for Mobile Sensor Networks
Autonomous Robots
GPS-free Positioning in Mobile Ad Hoc Networks
Cluster Computing
ICDCS '01 Proceedings of the The 21st International Conference on Distributed Computing Systems
HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks
IEEE Transactions on Mobile Computing
Uncertainty-aware and coverage-oriented deployment for sensor networks
Journal of Parallel and Distributed Computing
Optimal Base-Station Locations in Two-Tiered Wireless Sensor Networks
IEEE Transactions on Mobile Computing
Maximizing the functional lifetime of sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Benefits of multiple battery levels for the lifetime of large wireless sensor networks
NETWORKING'05 Proceedings of the 4th IFIP-TC6 international conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communication Systems
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Base station is a special node in a sensor network. It connects an individual sensor node to the outside world. Mostly base stations have sufficient battery power. However, the nodes which are in the proximity of base station have limited battery power. The information generated by other nodes gets shipped to the base station via the nodes which are adjacent to the same. Thus in addition to the information generated by them, the nodes around the base station also have to forward the data of other nodes to the base station. In this way these nodes will have to bear more communication responsibilities than peripheral nodes. The batteries of these nodes get exhausted rapidly and thus they create a bottleneck for prolonged communication. In this paper, we propose to optimise the topology by optimising the transmission power and introducing redundancy in the system in different topological scenarios to avoid this bottleneck phenomenon. The analytical and experimental results demonstrate that using our proposed algorithm all nodes will exhaust its battery at almost the same moment of time. There will no more be a bottleneck in prolonged communication.