Deploying wireless sensors to achieve both coverage and connectivity
Proceedings of the 7th ACM international symposium on Mobile ad hoc networking and computing
A Delaunay Triangulation Based Method for Wireless Sensor Network Deployment
ICPADS '06 Proceedings of the 12th International Conference on Parallel and Distributed Systems - Volume 1
A Delaunay Triangulation based method for wireless sensor network deployment
Computer Communications
Wireless Personal Communications: An International Journal
The optimum sensor redeployment scheme using the most frangible clusters set
Computer Communications
Sensor Placement for 3-Coverage with Minimum Separation Requirements
DCOSS '08 Proceedings of the 4th IEEE international conference on Distributed Computing in Sensor Systems
Low-coordination wake-up algorithms for multiple connected-covered topologies in sensor nets
International Journal of Sensor Networks
Energy-efficient capture of stochastic events by global- and local-periodic network coverage
Proceedings of the tenth ACM international symposium on Mobile ad hoc networking and computing
Efficient Sensor Placement for Surveillance Problems
DCOSS '09 Proceedings of the 5th IEEE International Conference on Distributed Computing in Sensor Systems
Reliability and fault tolerance of coverage models for sensor networks
International Journal of Sensor Networks
An obstacle-free and power-efficient deployment algorithm for wireless sensor networks
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Optimal 3-Coverage with Minimum Separation Requirements for Ubiquitous Computing Environments
Mobile Networks and Applications
The optimization of sensor relocation in wireless mobile sensor networks
Computer Communications
A wireless sensor network design tool to support building energy management
Proceedings of the First ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
A dead-end free deployment algorithm for wireless sensor networks with obstacles
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
Deployment planning tool for indoor 3D-WSNs
Proceedings of the 12th ACM international conference adjunct papers on Ubiquitous computing - Adjunct
Computer Networks: The International Journal of Computer and Telecommunications Networking
Ant colony optimization based sensor deployment protocol for wireless sensor networks
Expert Systems with Applications: An International Journal
Coverage problems in sensor networks: A survey
ACM Computing Surveys (CSUR)
A sensor deployment approach using glowworm swarm optimization algorithm in wireless sensor networks
Expert Systems with Applications: An International Journal
A least-movement topology repair algorithm for partitioned wireless sensor-actor networks
International Journal of Sensor Networks
Adaptive k-coverage contour evaluation and deployment in wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
Characteristic function of connectivity with obstacles
Proceedings of the fourteenth ACM international symposium on Mobile ad hoc networking and computing
An analysis of lifetime-extended algorithm for wireless sensor networks
Computers and Electrical Engineering
An efficient strategy of nonuniform sensor deployment in cyber physical systems
The Journal of Supercomputing
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Sensor deployment is a critical issue since it reflects the costand detection capability of a wireless sensor network. Although lots of work has addressed this issue, most of them assume thatthe sensing field is an open space and there is a special relationshipbetween the communication range and sensing range of sensors.In this work, we consider the sensing field as an arbitrary-shapedregion possibly with obstacles. Besides, we allow an arbitrary relationshipbetween the communication range and sensing range, thus eliminating the constraints of existing results. Our approach is to partition the sensingfield into smaller sub-regions based on the shape of the field, and thento deploy sensors in these sub-regions. Simulation results show thatour method requires fewer sensors compared to existing results.