A Self-Adaptive Wireless Sensor Network Coverage Method for Intrusion Tolerance Based on Trust Value. (3rd August 2015)
- Record Type:
- Journal Article
- Title:
- A Self-Adaptive Wireless Sensor Network Coverage Method for Intrusion Tolerance Based on Trust Value. (3rd August 2015)
- Main Title:
- A Self-Adaptive Wireless Sensor Network Coverage Method for Intrusion Tolerance Based on Trust Value
- Authors:
- Chen, Zuo
Li, Xue
Yang, Bing
Zhang, Qian - Other Names:
- Yu Fei Academic Editor.
- Abstract:
- Abstract : The sensor is quite easily attacked or invaded during the process of the node coverage optimization. It is a great challenge to make sure that the wireless sensor network could still carry out a secure communication and reliable coverage under the condition of being attacked. Therefore, this paper proposes a network coverage method for intrusion tolerance based on trust value of nodes by combining the trust value model with the reliable coverage optimization. It first estimates trust value of nodes through which to regulate the perception radius and decision-making radius. Furthermore, this algorithm also combines the classical methods of wireless network coverage, such as GSO and PSO, to realize the networks coverage of invasive tolerant sensor. After comparing with the conventional single cover mechanism, it can improve the security and coverage rate of network under the condition of invasion. The simulation results verify the effectiveness of the algorithm.
- Is Part Of:
- Journal of sensors. Volume 2015(2015)
- Journal:
- Journal of sensors
- Issue:
- Volume 2015(2015)
- Issue Display:
- Volume 2015, Issue 2015 (2015)
- Year:
- 2015
- Volume:
- 2015
- Issue:
- 2015
- Issue Sort Value:
- 2015-2015-2015-0000
- Page Start:
- Page End:
- Publication Date:
- 2015-08-03
- Subjects:
- Detectors -- Periodicals
681.205 - Journal URLs:
- https://www.hindawi.com/journals/js/ ↗
- DOI:
- 10.1155/2015/430456 ↗
- Languages:
- English
- ISSNs:
- 1687-725X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 10835.xml