NDLI: Performance analysis of trust based geographic routing protocols for Wireless Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Vamsi, P. Raghu Kant, Krishna
Copyright Year	2014
Description	Author affiliation: Department of Computer Science and Engineering, Jaypee Institute of Information Technology, Noida, India (Vamsi, P. Raghu; Kant, Krishna)
Abstract	Deploying Wireless Sensor Networks (WSNs) in hostile and remote environments are often lead to vulnerabilities and prone to various security attacks. These attacks can disrupt the regular network operations such that the dependable metrics of routing protocols can be seriously affected. Conventional cryptography techniques have proved their strength in communication security rather than the routing security. To achieve the routing security, numerous researchers have utilized a human behavior patten called trust. In this paper, the authors present a study on the performance of various trust based geographic routing protocols for WSNs. After studying the trust based routing protocols, the performance of these protocols are analyzed using NS-2 simulations. With the extensive simulations, it is noted that each protocol has their own advantages and limitations in discovering and isolating the malicious nodes from the routing process. Finally, with the observations from the simulations, the authors suggests extensions to the trust models to make them more robust against detecting malicious nodes.
Starting Page	318
Ending Page	323
File Size	433474
Page Count	6
File Format	PDF
ISBN	9781479976829
e-ISBN	9781479976836
DOI	10.1109/PDGC.2014.7030763
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-11
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless sensor networks Malicious activities Computational modeling Routing Trust models Routing protocols Geographic Routing Delays Security Wireless Sensor Networks
Content Type	Text
Resource Type	Article

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