Geography-informed energy conservation for Ad Hoc routing
Proceedings of the 7th annual international conference on Mobile computing and networking
The vehicle routing problem
Topology management for sensor networks: exploiting latency and density
Proceedings of the 3rd ACM international symposium on Mobile ad hoc networking & computing
Wireless sensor networks for habitat monitoring
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Grid Coverage for Surveillance and Target Location in Distributed Sensor Networks
IEEE Transactions on Computers
Crew Pairing Optimization with Genetic Algorithms
SETN '02 Proceedings of the Second Hellenic Conference on AI: Methods and Applications of Artificial Intelligence
Computation hierarchy for in-network processing
WSNA '03 Proceedings of the 2nd ACM international conference on Wireless sensor networks and applications
A Bidding Protocol for Deploying Mobile Sensors
ICNP '03 Proceedings of the 11th IEEE International Conference on Network Protocols
A Wakeup Scheme for Sensor Networks: Achieving Balance between Energy Saving and End-to-end Delay
RTAS '04 Proceedings of the 10th IEEE Real-Time and Embedded Technology and Applications Symposium
A Minimum Cost Heterogeneous Sensor Network with a Lifetime Constraint
IEEE Transactions on Mobile Computing
A survey of application distribution in wireless sensor networks
EURASIP Journal on Wireless Communications and Networking
Proceedings of the 5th international conference on Information processing in sensor networks
Movement-Assisted Sensor Deployment
IEEE Transactions on Mobile Computing
Optimal and approximate approaches for deployment of heterogeneous sensing devices
EURASIP Journal on Wireless Communications and Networking
The capacity of wireless networks
IEEE Transactions on Information Theory
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In this paper, deployment of heterogeneous sensors in a field with preferential areas is studied. The problem is formulated using a mathematical program and solved optimally with an objective function that maximizes the coverage of the monitored field. The formulation considers several operation capabilities of the sensing devices including reliability, mobility, mobility cost, lifespan and power self-scheduling, as well as fields with preferential areas. For large-scale problems, a two-phase approach is proposed. A set of deployment patterns is first generated; and then assigned to the available devices considering their limited operational capabilities. Different sets of conducted experiments demonstrate the benefits of using heterogeneous sensors and fields with special monitoring requirements. In addition, the results show that the two-phase approach is capable of producing near-optimal coverage performance in a much shorter running time.