T.K.Bandhopadhyay

Work place: BIST, Bhopal, India

E-mail: tushar_bando1@gmail.com

Website:

Research Interests: Engineering

Biography

T K Bandhopadhyaya is a renowned professor of Electronics. He has versatile academic & administrative experience. He earned his BE(Hons) and ME degree from Jabalpur University India and Ph.D.from University of Paris in 1966 under French Government Scholarship. He has guided more than 16 Ph.Ds and about 25 M.Tech dissertations. He has published more than 70 papers in International Journals and reputed conferences.

Author Articles
Performance Analysis of Route Discovery by Cross Layer Routing Protocol- RDCLRP

By Mehajabeen Fatima Roopam Gupta T.K.Bandhopadhyay

DOI: https://doi.org/10.5815/ijcnis.2013.08.06, Pub. Date: 8 Jun. 2013

Wired and wireless network is based on the TCP / IP architecture but it is not sufficient to cope with the dynamics of the MANET. Cross layer design can be an alternative architecture for MANET. Frequent route break is one of the major problems of mobile adhoc network (MANET). Path breaks due to less available battery power and mobility of nodes. Most of the battery power is consumed in flooding of control packets. A key challenge in the design of efficient routing protocol is to reduce link breakage and flooding of control packets. Route breakage can be reduced if the possibility of route breakage is predicted and a handoff is done without drop of data packets. If route breakage is reduced, the more battery power will be available with nodes. In turn it reduces the possibility of route breakage and the possibility of flooding. This is a cumulative effect. So a novel preemptive route repair algorithm is proposed named as RDCLRP- Route discovery by cross layer routing protocol to reduce frequency of control packet flooding and route breakage. Three variants of RDCLRP and their results are illustrated. In this paper, the impact of the number of nodes on performance of RDCLRP are investigated and analyzed. The results show 55.6% reduction in link breakage, 14.7% improvement in residual battery power and an average of 6.7% increase in throughput compared to basic AODV.

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