Geography-informed energy conservation for Ad Hoc routing
Proceedings of the 7th annual international conference on Mobile computing and networking
Principles of Mobile Communication
Principles of Mobile Communication
Proceedings of the 8th annual international conference on Mobile computing and networking
Application-specific protocol architectures for wireless networks
Application-specific protocol architectures for wireless networks
On deriving the upper bound of α-lifetime for large sensor networks
Proceedings of the 5th ACM international symposium on Mobile ad hoc networking and computing
A message ferrying approach for data delivery in sparse mobile ad hoc networks
Proceedings of the 5th ACM international symposium on Mobile ad hoc networking and computing
On the Fundamental Capacity and Lifetime Limits of Energy-Constrained Wireless Sensor Networks
RTAS '04 Proceedings of the 10th IEEE Real-Time and Embedded Technology and Applications Symposium
Data acquisition in multiple-sink sensor networks
ACM SIGMOBILE Mobile Computing and Communications Review
Energy-scalable algorithms and protocols for wireless microsensor networks
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 06
Placement of multiple mobile data collectors in underwater acoustic sensor networks
Wireless Communications & Mobile Computing - Underwater Sensor Networks: Architectures and Protocols
Optimal base station placement in wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
IEEE Communications Magazine
Primate-Inspired Communication Methods for Mobile and Static Sensors and RFID Tags
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
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In this paper, we address the fundamental question concerning the limits on the network lifetime in sensor networks when multiple base stations (BSs) are deployed as data sinks. Specifically, we derive upper bounds on the network lifetime when multiple BSs are employed, and obtain optimum locations of the base stations that maximise these lifetime bounds. For the case of two BSs, we jointly optimise the BS locations by maximising the lifetime bound using genetic algorithm. Joint optimisation for more number of BSs becomes prohibitively complex. Further, we propose a suboptimal approach for higher number of BSs, Individually Optimum method, where we optimise the next BS location using optimum location of previous BSs. Individually Optimum method has advantage of being attractive for solving the problem with more number of BSs at the cost of little compromised accuracy. We show that accuracy degradation is quite small for the case of three BSs.