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
PEAS: A Robust Energy Conserving Protocol for Long-lived Sensor Networks
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Sensor deployment and target localization in distributed sensor networks
ACM Transactions on Embedded Computing Systems (TECS)
On k-coverage in a mostly sleeping sensor network
Proceedings of the 10th annual international conference on Mobile computing and networking
Integrated coverage and connectivity configuration for energy conservation in sensor networks
ACM Transactions on Sensor Networks (TOSN)
Probabilistic Coverage in Wireless Sensor Networks
LCN '05 Proceedings of the The IEEE Conference on Local Computer Networks 30th Anniversary
Algorithms and Protocols for Wireless Sensor Networks
Algorithms and Protocols for Wireless Sensor Networks
Unreliable sensor grids: coverage, connectivity and diameter
Ad Hoc Networks
Analysis of target detection performance for wireless sensor networks
DCOSS'05 Proceedings of the First IEEE international conference on Distributed Computing in Sensor Systems
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In order to optimize the performance of wireless sensor networks, based on the boolean sensing model (BSM) many coverage preserving protocols have been proposed; however, BSM model is too idealistic to be maintained in many applications. Sensing range could be changed by environment factors such as the obstacle and weather condition. BSM based protocols can not achieve their design goals because of the errors of coverage measurement. In this paper, we proposed our irregular sensing range detection model (RDM) which solves the range detection problem through estimating the sensing range by a revised α-shape algorithm. A RDM based distributed algorithm for measuring the area coverage is proposed. Its complexity are analyzed and compared to the centralized α-shape based area coverage algorithm. A set of simulation experiments is carried out to evaluate the performance of our algorithm in terms of coverage accuracy, coverage error and complexity. The result shows that the boolean sensing model will lead to errors when obstacles are injected into environment; however, our range detection model can detect the changes of environments and help protocols adapt to it.