Wireless sensor networks for habitat monitoring
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Introduction to Algorithms
Grid Coverage for Surveillance and Target Location in Distributed Sensor Networks
IEEE Transactions on Computers
Integrated coverage and connectivity configuration in wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
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A strategy for energy saving in wireless sensor networks is to manage the duty cycle of sensors, by dynamically selecting a different set of nodes to be active in every moment. We propose a strategy for node selection in multihop sensor networks that prioritizes nodes with larger residual energy and relevance for the application. The proposed scheme is based on an implementation of the knapsack algorithm and it seeks to maximize the network lifetime, while assuring the application QoS. An environmental monitoring application was simulated and huge energy savings were achieved with the proposed scheduling algorithm.