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
Range-free localization schemes for large scale sensor networks
Proceedings of the 9th annual international conference on Mobile computing and networking
Integrated coverage and connectivity configuration in wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Differentiated surveillance for sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Coverage Issue in Sensor Networks with Adjustable Ranges
ICPPW '04 Proceedings of the 2004 International Conference on Parallel Processing Workshops
A framework for time indexing in sensor networks
ACM Transactions on Sensor Networks (TOSN)
Redundancy and coverage detection in sensor networks
ACM Transactions on Sensor Networks (TOSN)
Energy-quality tradeoffs for target tracking in wireless sensor networks
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Location-unaware sensing range assignment in sensor networks
NETWORKING'07 Proceedings of the 6th international IFIP-TC6 conference on Ad Hoc and sensor networks, wireless networks, next generation internet
Energy-Efficient connected coverage of discrete targets in wireless sensor networks
ICCNMC'05 Proceedings of the Third international conference on Networking and Mobile Computing
A survey of communication/networking in Smart Grids
Future Generation Computer Systems
RETRACTED: Impacts of sensor node distributions on coverage in sensor networks
Journal of Parallel and Distributed Computing
Adaptive edge detection with distributed behaviour-based agents in WSNs
International Journal of Sensor Networks
Energy consumption monitoring for sensor nodes in SNAP
International Journal of Sensor Networks
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The sensing range of a sensor node significantly affects its energy consumption. This study focuses on allowing each sensor to dynamically adjust its sensing radius so that the global coverage of the whole detecting area remains unchanged, while minimising the sensing range of each sensor locally. The proposed solution minimises energy consumption and extends the lifetime of the sensor network while adjusting the sensing radius of each sensor node. Simulation results indicate that the proposed method can reduce the sensing radii of 90% of sensor nodes when sensors are randomly deployed with enough sensors to cover a designated area [i.e. density of 5 sensors/sensing radius (Shih et al., 2001)], and can reduce the sensing radii of 40% of the nodes to 0 (i.e. a sleep mode) when sensors are densely deployed.