Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Authors: Raju, Kola Narasimhaa; * | Sirisha, Aswadhatib | Nanaji, Uppe.c | Sharma, S.K.b | Kumar, Chatikam Rajd
Affiliations: [a] Department of CSE, Lendi Institute of Engineering and Technology, Vizianagaram, Andhra Pradesh, India | [b] Department of MCA, Vignan’s Institute of Information Technology, Visakhapatnam, Andhra Pradesh, India | [c] Department of CSE, Andhra University Visakhapatnam, Visakhapatnam, Andhra Pradesh, India | [d] Department of CSE, Vignan’s Institute of Information Technology, Visakhapatnam, Andhra Pradesh, India
Correspondence: [*] Corresponding author: Kola Narasimha Raju, Department of CSE, Lendi Institute of Engineering and Technology, Vizianagaram, Andhra Pradesh, India. E-mail: [email protected].
Abstract: Mobile Ad Hoc Network is an easily deployable wireless network without any need of centralized infrastructure. The change of position by wireless devicesleadstolinkfailuresandroutefailures.The mobile nodes sent hello messages at regular intervals to update the status of their neighbors. Increasing the number of periodical notifications such as hello messages will give an idea about the topology and at the same moment consumes more network resources. Reducing these periodic notifications results in discovering the neighbors at veryslowrate.Thereforetherateofhellomessages has most significant role while considering the performance of MANETs. Routing Protocols such as AODV in MANETs performs the operation basing on static hello interval. In this paper an adaptive hello interval approach is proposed based on a soft computing technique “Adaptive Neuro Fuzzy Inference system” for in MANETs. The result states that the proposed solution yields a great improvement over the traditional protocol “AODV”.
Keywords: AODV, ANFIS, ANFISHIAODV, hello message, MANET, performance
DOI: 10.3233/KES-210067
Journal: International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 25, no. 2, pp. 235-242, 2021
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
[email protected]
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office [email protected]
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
如果您在出版方面需要帮助或有任何建, 件至: [email protected]