Geography-informed energy conservation for Ad Hoc routing
Proceedings of the 7th annual international conference on Mobile computing and networking
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Integrated coverage and connectivity configuration in wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Differentiated surveillance for sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Naps: scalable, robust topology management in wireless ad hoc networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
Wireless sensor network survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
The Rise of People-Centric Sensing
IEEE Internet Computing
Prisense: privacy-preserving data aggregation in people-centric urban sensing systems
INFOCOM'10 Proceedings of the 29th conference on Information communications
Examining micro-payments for participatory sensing data collections
Proceedings of the 12th ACM international conference on Ubiquitous computing
BLR: beacon-less routing algorithm for mobile ad hoc networks
Computer Communications
Hi-index | 0.00 |
Recently, there has been increasing interest in Mobile Wireless Sensor Networks (MWSNs) that are constructed by mobile sensor nodes held by ordinary people, which has led to a new concept called urban sensing. In such MWSNs, mobile sensor nodes densely exist, and thus, there are basically many sensor nodes for each geographical point that can sense the point in the entire sensing area. To reduce the communication cost for sensing operations, it is desirable to gather the sensor data from the minimum number of the mobile sensor nodes which are necessary to guarantee the sensing coverage or the quality of services. In this paper, to achieve this, we propose a data gathering method using mobile agents in dense MWSNs. The proposed method guarantees the sensing coverage of the entire area using mobile agents that autonomously perform sensing operations, transmit sensor readings, and move between sensor nodes. By gathering only sensor readings generated by sensor nodes where agents are running, our proposed method can achieve efficient gathering of sensor readings.