A directionality based location discovery scheme for wireless sensor networks
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
A Probabilistic Signal-Strength-Based Evaluation Methodology for Sensor Network Deployment
AINA '05 Proceedings of the 19th International Conference on Advanced Information Networking and Applications - Volume 1
Deterministic boundary recognition and topology extraction for large sensor networks
SODA '06 Proceedings of the seventeenth annual ACM-SIAM symposium on Discrete algorithm
Models and solutions for radio irregularity in wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
Boundary recognition in sensor networks by topological methods
Proceedings of the 12th annual international conference on Mobile computing and networking
Localized coverage boundary detection for wireless sensor networks
QShine '06 Proceedings of the 3rd international conference on Quality of service in heterogeneous wired/wireless networks
SenseSwarm: a perimeter-based data acquisition framework for mobile sensor networks
DMSN '07 Proceedings of the 4th workshop on Data management for sensor networks: in conjunction with 33rd International Conference on Very Large Data Bases
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This paper summarizes an effort to evaluate the usability of a mobile sink for identifying the boundary of a wireless sensor network. In order to achieve the desired task we transform the problem of boundary identification into one of edge node identification. The algorithm designed is based on a mobile sink equipped with a directional antenna, which identifies the edge nodes and connects them to complete the boundary of the sensor field. The proposed scheme has following distinct features. Firstly, it is independent of the sensor node deployment, and therefore can be used for fields having very low node density. Secondly, it does not require sensor field flooding which helps preserving the nodes' energy. Thirdly, it works with low cost sensor nodes, i.e., it does not impose any special requirements on the hardware of individual sensor nodes (no GPS, no special antennas, etc.), which makes it cost effective.