Trust management in wireless sensor networks
β Scribed by Zahariadis, Theodore ;Leligou, Helen C. ;Trakadas, Panagiotis ;Voliotis, Stamatis
- Publisher
- John Wiley and Sons
- Year
- 2010
- Tongue
- English
- Weight
- 133 KB
- Category
- Article
- ISSN
- 1124-318X
- DOI
- 10.1002/ett.1413
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstract
The range of applications of wireless sensor networks is so wide that it tends to invade our every day life. In the future, a sensor network will survey our health, our home, the roads we follow, the office or the industry we work in or even the aircrafts we use, in an attempt to enhance our safety. However, the wireless sensor networks themselves are prone to security attacks. The list of security attacks, although already very long, continues to augment impeding the expansion of these networks. The trust management schemes consist of a powerful tool for the detection of unexpected node behaviours (either faulty or malicious). Once misbehaving nodes are detected, their neighbours can use this information to avoid cooperating with them, either for data forwarding, data aggregation or any other cooperative function. A variety of trust models which follow different directions regarding the distribution of measurement functionality, the monitored behaviours and the way measurements are used to calculate/define the node's trustworthiness has been presented in the literature. In this paper, we survey trust models in an attempt to explore the interplay among the implementation requirements, the resource consumption and the achieved security. Our goal is to draw guidelines for the design of deployable trust model designs with respect to the available node and network capabilities and application peculiarities. Copyright Β© 2010 John Wiley & Sons, Ltd.
π SIMILAR VOLUMES
## Abstract In this work, we present a selfβmanagement service for Wireless Sensor Networks (WSNs) that automatically controls the network redundancy. Based on a density control function, this service improves the monitoring potential of the sensor nodes. Our simulation experiments show that this s
## Abstract A sensor selection scheme for source extraction in heterogeneous wireless sensor networks is proposed. The proposed scheme selects the sensors corresponding to the reconstructed mixtures with the largest signalβtoβnoiseβratios to transmit their data to a fusion center. It exploits the h