An Incremental Self-Deployment Algorithm for Mobile Sensor Networks
Autonomous Robots
Grid Coverage for Surveillance and Target Location in Distributed Sensor Networks
IEEE Transactions on Computers
Sensor deployment and target localization in distributed sensor networks
ACM Transactions on Embedded Computing Systems (TECS)
IEEE Transactions on Computers
Soft Tamper-Proofing via Program Integrity Verification in Wireless Sensor Networks
IEEE Transactions on Mobile Computing
DCTC: dynamic convoy tree-based collaboration for target tracking in sensor networks
IEEE Transactions on Wireless Communications
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The deployment of sensors on a given field is an important issue that affects wireless sensor networks. Traditionally, all areas of a sensor field are equivalent, and multiple deployment algorithms are used to maximize the area covered by a given number of sensors or a certain budget. However, in many applications, such as fire control system, battlefield surveillance, detection of nuclear, biological, or chemical (NBC) attack, and other things, the areas must be weighted based on priority of deployment: the more critical the area, the higher the weight and the higher the priority. In this paper, we introduce the problem of the weighted field sensor: and determine the maximum weight of the coverage area by deploying a given number of sensors on a given weighted field. Then an algorithm is proposed to find a near-optimal solution for the weighted field sensor covering problem.