The coverage problem in a wireless sensor network
WSNA '03 Proceedings of the 2nd ACM international conference on Wireless sensor networks and applications
Barrier coverage with wireless sensors
Proceedings of the 11th annual international conference on Mobile computing and networking
Strong barrier coverage of wireless sensor networks
Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing
Multi-round sensor deployment for guaranteed barrier Coverage
INFOCOM'10 Proceedings of the 29th conference on Information communications
On Sweep Coverage with Minimum Mobile Sensors
ICPADS '10 Proceedings of the 2010 IEEE 16th International Conference on Parallel and Distributed Systems
Decentralized control of a group of mobile robots for deployment in sweep coverage
Robotics and Autonomous Systems
Coverage by randomly deployed wireless sensor networks
IEEE Transactions on Information Theory
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Most of the existing results in sweep-coverage focused on minimizing the number of the mobile sensor nodes by carefully planning their corresponding trajectories such that each target of interest can be periodically monitored (within every t time unit). However, the starting locations of the mobile sensors, at which the service depots (or equivalently base stations) of the nodes are usually located, are never considered in the trajectory planning. In order to provide sweep-coverage for a long period of time, each node also needs to periodically visit a base station to replace a battery or refueled (within every T time unit). Motivated by this observation, this paper introduces two new sweep-coverage problems, in which each mobile sensor node is required to visit a base station periodically, namely (t,T)-SCOPe-1 and (t,T)-SCOPe-M, each of which considers one single base station and M base stations for all of the nodes, respectively. We prove those problems are NP-hard and propose heuristic algorithms for them. In addition, we conduct simulations to evaluate the average performance of the proposed algorithms and study their average behavior characteristics.