MWM: a map-based world model for wireless sensor networks
Autonomics '08 Proceedings of the 2nd International Conference on Autonomic Computing and Communication Systems
Proceedings of the 4th Annual International Conference on Wireless Internet
Map-based modeling and design of wireless sensor networks with OMNeT++
SPECTS'09 Proceedings of the 12th international conference on Symposium on Performance Evaluation of Computer & Telecommunication Systems
Distributive target tracking in sensor networks with a Markov random field model
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Perimeter detection in wireless sensor networks
Robotics and Autonomous Systems
On detection and tracking of variant phenomena clouds
ACM Transactions on Sensor Networks (TOSN)
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Event boundary detection is in and of itself a useful application in wireless sensor networks (WSNs). Typically, it includes the detection of a large-scale spatial phenomenon such as the transportation front line of a contamination or the diagnosis of network health. In this paper, we present SEBD, a fully distributed and light-weight secure event boundary detection scheme, which implements secure and fault-tolerant detection of event boundaries in an adversarial environment. An efficient key establishment protocol is first proposed which establishes location based keys at each sensor node to secure the communications. The idea of location-based keys also effectively minimizes the impact of node compromise such that a compromised node cannot impersonate other nodes at locations other than where it is. Then a collaborative endorsement scheme is designed to allow multiple nodes collectively endorsing a valid boundary claim for increased resilience against node compromise. SEBD further develops an enhanced (nonparametric) statistical model that supports localized detection and shows a much better accuracy and fault tolerance property as compared to previous models. The security strength and performance of SEBD are evaluated by both analysis and simulations.