ISSN: 0973-7510

E-ISSN: 2581-690X

K. Geetha1 and P. Thangaraj2
1Department of Information and Technology, Excel Engineering College, Nammakal, Tamilnadu, India.
2Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Tamilnadu, India.
J Pure Appl Microbiol. 2015;9(Spl. Edn. Aug.):161-168
© The Author(s). 2015
Received: 15/03/2015 | Accepted: 11/05/2015 | Published: 31/08/2015

With availability of hand held devices increasingly across various sections of the society the logical step in health care management is providing support anywhere and anytime. In scenarios like disasters where infrastructure may not be available for communication, intra communication between the devices without infrastructure is the logical design of networks where in communication is established between mobile devices. . A Mobile Adhoc Networks (MANET) is a group of mobile nodes communicating with each other without infrastructure or centralized administration. Security plays a very important role in such networks where personal data may be exchanged. Routing protocols should be able to cope with malicious nodes that disrupt correct routing protocol functioning by modifying routing information and other activities. In this paper, an enhanced Associativity Based Routing (ABR), Fuzzy Game Theory Trust ABR (FGT2- ABR), is proposed to mitigate network attacks with emphasis on pervasive health monitoring systems. The proposed method selects a route based on fuzzy game theory. Hello messages contain “AN – Avoid node” field based on malicious node detection. Membership functions used are successful deliveries number, Memory utilization and computed trust. Trust includes neighborhood trust based and recommendation based trust.


Mobile Adhoc Networks (MANET), Associativity Based Routing (ABR), Fuzzy game theory, Computed Trust

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© The Author(s) 2015. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License which permits unrestricted use, sharing, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.