Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
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The physical constraints of battery-powered sensors impose limitations on their processing capacity and longetivity. As battery power in the nodes decays, certain parts of the network may become disconnected or the coverage may shrink, thereby reducing the reliability and the potency of the sensor network. Since sensor networks operate unattended and without maintainence, it is imperative that network failures are detected early enough so that corrective measures can be taken.Existing research has primarily concentrated on developing algorithms, be it distributed or centralized, to optimize network longetivity metrics. For instance, [4, 5] propose MAC layer optimizations to prolong longetivity, while [7, 6] look at the problem from a Layer 3 perspective. Works along the lines of actually building network models for energy consumption are addressed in [2], [3], but these models fail to capture the interplay between a node's spatial location and it's energy consumption.In our current work, we develop an unifying framework to characterize the lifetime of such energy constrained networks, and obtain insights into their working. In particular, we employ a framework similar to population models for biological systems, to model the network lifetime. We consider both spatial scenarios, where a node's power consumption is governed by it's position in space as well as non spatial scenarios, where the node's location and power consumption model are independent entities.