Coverage-Aware sensor engagement in dense sensor networks

Authors:
Jun Lu;Lichun Bao;Tatsuya Suda
Affiliations:
Bren School of Information and Computer Sciences, University of California, Irvine, CA;Bren School of Information and Computer Sciences, University of California, Irvine, CA;Bren School of Information and Computer Sciences, University of California, Irvine, CA
Venue:
EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing
Year:
2005

Citing 11
Cited 8

The Cricket location-support system

MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Exposure in wireless Ad-Hoc 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
Recursive Position Estimation in Sensor Networks

ICNP '01 Proceedings of the Ninth International Conference on Network Protocols
Analysis on the redundancy of wireless sensor networks

WSNA '03 Proceedings of the 2nd ACM international conference on Wireless sensor networks and applications
The coverage problem in a wireless sensor network

WSNA '03 Proceedings of the 2nd ACM international conference on Wireless sensor networks and applications
Differentiated surveillance for sensor networks

Proceedings of the 1st international conference on Embedded networked sensor systems
TSync: a lightweight bidirectional time synchronization service for wireless sensor networks

ACM SIGMOBILE Mobile Computing and Communications Review - Special issue on wireless pan & sensor networks
Set k-cover algorithms for energy efficient monitoring in wireless sensor networks

Proceedings of the 3rd international symposium on Information processing in sensor networks
Network coverage using low duty-cycled sensors: random & coordinated sleep algorithms

Proceedings of the 3rd international symposium on Information processing in sensor networks
Fine-grained network time synchronization using reference broadcasts

OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading

Randomized Approach for Target Coverage Scheduling in Directional Sensor Network

ICESS '07 Proceedings of the 3rd international conference on Embedded Software and Systems
A Distributed Algorithm to Approximate Node-Weighted Minimum α-Connected (θ,k)-Coverage in Dense Sensor Networks

FAW '08 Proceedings of the 2nd annual international workshop on Frontiers in Algorithmics
Frugal Sensor Assignment

DCOSS '08 Proceedings of the 4th IEEE international conference on Distributed Computing in Sensor Systems
A heuristic approach for K-coverage extension with energy-efficient sleep scheduling in sensor networks

Proceedings of the 3rd International Conference on Bio-Inspired Models of Network, Information and Computing Sytems
Jointly optimizing data acquisition and delivery in traffic monitoring VANETs

Proceedings of the 2009 ACM symposium on Applied Computing
Sensor-mission assignment in wireless sensor networks

ACM Transactions on Sensor Networks (TOSN)
Survey Focal design issues affecting the deployment of wireless sensor networks for pipeline monitoring

Ad Hoc Networks
Special Section on CAD/Graphics 2013: Geometric multi-covering

Computers and Graphics

Quantified Score

Hi-index	0.00

Visualization

Abstract

The critical issue in sensor networks is the search of balance between the limited battery supply and the expected longevity of network operations. Similar goals exist in providing a certain degree of sensing coverage and maintaining a desirable number of sensors to communicate under the energy constraint. We propose a novel sensor network protocol, called Coverage-Aware Sensor Engagement (CASE) for coverage maintenance. Different from others, CASE schedules active/inactive sensing states of a sensor according to the sensor’s contribution to the network sensing coverage. The contribution is quantitatively measured by a metric called coverage merit. By utilizing sensors with large coverage merit, CASE reduces the number of the active sensors required to maintain the level of coverage. Simulation results show that CASE considerably improves the energy efficiency and reduces the computation and communication costs to maintain the required coverage degree in a dense sensor network.