This paper is published in Volume-4, Issue-3, 2018
Area
Network
Author
Arunadevi. D
Org/Univ
Crescent Institute of Science and Technology, Chennai, Tamil Nadu, United States
Pub. Date
15 May, 2018
Paper ID
V4I3-1345
Publisher
Keywords
Mobile ad hoc networks, Attacks, Misbehavior, Fine-grained, Trusted Third Party, SROLSR, Congestion, Analyzer, Mobility.

Citationsacebook

IEEE
Arunadevi. D. Performance evaluation and energy efficiency based on SROLSR in MANET, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Arunadevi. D (2018). Performance evaluation and energy efficiency based on SROLSR in MANET. International Journal of Advance Research, Ideas and Innovations in Technology, 4(3) www.IJARIIT.com.

MLA
Arunadevi. D. "Performance evaluation and energy efficiency based on SROLSR in MANET." International Journal of Advance Research, Ideas and Innovations in Technology 4.3 (2018). www.IJARIIT.com.

Abstract

Mobile Ad Hoc Network (MANET) is formed by a set of wireless mobile hosts that dynamically configure themselves by exploiting their wireless network interfaces without relying on any fixed infrastructure. Mobile hosts used in MANET supports the roles that are ensured by the powerful fixed infrastructure in traditional networks. This is a challenging task for the mobile hosts that have limited resources such as processing power, storage, and energy. Malicious and selfish behaviors are a serious threat against routing in delay/disruption tolerant networks (DTNs). A probabilistic misbehavior detection scheme, for secure DTN routing toward Fine-grained analysis closely coupled with the concept of trust. Nodes may misbehave either because they are malicious or because they are selfish. The approach is used in parallel to generate the list of misbehaving nodes. For efficient Improvement of the scheme, we correlate detection probability with a node’s reputation. The analysis and simulation results demonstrate the Effectiveness and efficiency of the proposed scheme using SR-OLSR Protocol. Mobile ad hoc networks (MANET) rely on the cooperation of all the participating nodes. The SR-OLSR protocol itself incurs a low checking overhead, Every node computes the trust of the observed neighbors. These trust values are passed on to analyzer function which is mapped into different classes. The resulting classes show the trust levels of the observed nodes using per hop distance and measurement and also we achieve security to send the message from the source to destination.