Geography-informed energy conservation for Ad Hoc routing
Proceedings of the 7th annual international conference on Mobile computing and networking
Physical layer driven protocol and algorithm design for energy-efficient wireless sensor networks
Proceedings of the 7th annual international conference on Mobile computing and networking
A coverage-preserving node scheduling scheme for large wireless sensor networks
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
A Network-Centric Approach to Embedded Software for Tiny Devices
EMSOFT '01 Proceedings of the First International Workshop on Embedded Software
PEAS: A Robust Energy Conserving Protocol for Long-lived Sensor Networks
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Integrated coverage and connectivity configuration in wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Network coverage using low duty-cycled sensors: random & coordinated sleep algorithms
Proceedings of the 3rd international symposium on Information processing in sensor networks
Random Coverage with Guaranteed Connectivity: Joint Scheduling for Wireless Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
Lightweight deployment-aware scheduling for wireless sensor networks
Mobile Networks and Applications
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
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The coverage problem in wireless sensor networks (WSNs) is to determine the number of active sensor nodes needed to cover the sensing area. The purpose is to extend the lifetime of the WSN by turning off redundant nodes. In this paper, we propose a mathematical method for calculating the coverage fraction in WSNs. According to the method, each active node can evaluate its sensing area whether covered by its active neighbors. We assume that the network is sufficiently dense and the deployed nodes can cover the whole monitored area. In this scenario, if a node's sensing area is covered by its active neighbor nodes, it can be treated as a redundant node. Based on this idea, we propose a lightweight node scheduling (LNS) algorithm that prolongs the network lifetime of the sensor network by turning off redundant nodes without using location information. Simulation study shows that LNS scheme can save considerable energy for data gathering while meeting the desired coverage fraction imposed by application.