Mathematical Modeling of Routing Protocol Selection for Optimal Performance of MANET

Ramakrishnan, M.; Priya, S.; Shanmugavel, S.

doi:10.1109/iccnt.2010.59

Cited by 3 publications

(2 citation statements)

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“…As per table 2 and 3, the performance of TORA is better for dense networks, AODV performs well for moderately dense networks and OLSR is better in sparse networks [2]. [3] but AODV performance degraded when the node density is increased. This is because of its poor routing strategy in a network that has relatively static topology.…”

Section: Fig 3 the Destination Will Reply The Source By Rrep Messagementioning

confidence: 75%

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Route Discovery by Cross Layer Approach for MANET

Fatima¹,

Gupta²,

Bandhopadhyay³

2012

IJCA

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Link breakage is of high probability in mobile wireless adhoc networks because of highly dynamic nature of MANET. This is because of limited transmission range, mobility and limited battery power. It becomes difficult to maintain continuous links in the networks. In AODV, node generates a RERR message for the given destination when it noticed that a link breakage has taken place. This hampers the continuity of the link and results in link breakage, in loss of some packets and increase in delay and overhead. Link breakage, delay and packet loss is not tolerable in real time communication and loss of packets, more overhead is not tolerable in non real time communication. So AODV is modified to cope up with these problems. An algorithm using cross layer approach is proposed which helps in maintaining the continuity of the network resulting in more throughput, less delay, less overhead and less battery power consumption which can be used for both real time and non real time communication.

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Section: Fig 3 the Destination Will Reply The Source By Rrep Messagementioning

confidence: 75%

“…where λ is wavelength of carrier, d is distance between sender and receiver, G T and G R are gain of transmitting and receiving antennas respectively. The effects of noise and fading are not considered [3]. The receiving node calculates the path loss by equ.2.…”

Section: Transmission Power and Channel Modelmentioning

confidence: 99%