A line in the sand: a wireless sensor network for target detection, classification, and tracking
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Military communications systems and technologies
Mobility improves coverage of sensor networks
Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
Proceedings of the 3rd international conference on Embedded networked sensor systems
Contour map matching for event detection in sensor networks
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Stochastic event capture using mobile sensors subject to a quality metric
Proceedings of the 12th annual international conference on Mobile computing and networking
Mobile Element Scheduling with Dynamic Deadlines
IEEE Transactions on Mobile Computing
Trade-offs between mobility and density for coverage in wireless sensor networks
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
Rendezvous design algorithms for wireless sensor networks with a mobile base station
Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing
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Mobile sensors cover more area over a fixed period of time than the same number of stationary sensors. With the combination of communication and mobility capabilities, we can envision a new class of proactive networks that are able to adapt themselves, via physical movement, to meet the need of different applications. In this paper we consider the following event capture problem: The stochastic events arrive at certain points, called points of interesting (PoIs), in the sensor field with a long enough duration time. Mobile sensors visit all PoIs start from Base Station (BS) with a fixed velocity and finally return to BS. An event is said to be captured if it is sensed by one of the mobile sensors before it fades away. Due to the over-detection problem when ever mobile sensors blindly visit every PoIs with the same interval time, we propose a general event detection framework (EDF) for mobile sensors using probabilistic path selection (PPS) protocol to reduce detection latency, and employ less number mobile nodes at the same time. A distinctive feature is that the system ensures that the detection delay of any event occurring at PoIs is statistically bounded, and mobile sensor framework (MSF) reduces transmitting delay from the time mobile sensor detecting event to return to BS simultaneously. Extensive experiments have been conducted and the results demonstrate that our algorithm allows us use less number mobile nodes within the delay bound and reduce the transmitting delay significantly.