Using sensorranks for in-network detection of faulty readings in wireless sensor networks
MobiDE '07 Proceedings of the 6th ACM international workshop on Data engineering for wireless and mobile access
International Journal of Distributed Sensor Networks
Trust management systems for wireless sensor networks: Best practices
Computer Communications
High Reliable In-Network Data Verification in Wireless Sensor Networks
Wireless Personal Communications: An International Journal
Trust mechanisms in wireless sensor networks: Attack analysis and countermeasures
Journal of Network and Computer Applications
Self-Adapting Event Configuration in Ubiquitous Wireless Sensor Networks
International Journal of Adaptive, Resilient and Autonomic Systems
| Hi-index | 0.00 |
Since sensor data gathering is the primary functionality of sensor networks, it is important to provide a fault tolerant method for reasoning about sensed events in the face of arbitrary failures of nodes sending in the event reports. In this paper, we propose a protocol called TIBFIT to diagnose and mask arbitrary node failures in an event-driven wireless sensor network. In our system model, sensor nodes are organized into clusters with rotating cluster heads. The nodes, including the cluster head, can fail in an arbitrary manner generating missed event reports, false reports, or wrong location reports. Correct nodes are also allowed to make occasional natural errors. Each node is assigned a trust index to indicate its track record in reporting past events correctly. The cluster head analyzes the event reports using the trust index and makes event decisions. TIBFIT is analyzed and simulated using the network simulator ns-2 and its coverage evaluated with a varying number and varying intelligence of the malicious nodes. We show that once TIBFIT gathers enough system state, accurate event detection is possible even if more than 50% of the network nodes are compromised.