Large-scale sensor networks are being envisioned and applied in a wide range of event monitoring tasks like forest fire detection, enemy movement tracking in a battle field, crack detection on a bridge etc. Field coverage is a critical issue for such applications since the sensor network must identify the event quickly and accurately. This paper compares several decentralized, self-organized methods for scheduling nodes to obtain effective field coverage. The focus is on assessing how well individual nodes in the network can locally estimate and optimize their schedules in order to achieve complete global coverage and a longer network lifetime at a lower energy cost.
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