An improved multipath MANET routing using link estimation and swarm intelligence

Prabha R., Ramaraj N.
<span title="2015-06-18">2015</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/a5gjzjadkzbirdua4xdqipotp4" style="color: black;">EURASIP Journal on Wireless Communications and Networking</a> </i> &nbsp;
Routing in ad hoc networks is challenging as nodes are mobile and links are continuously created and broken. Current on-demand ad hoc routing algorithms start route discovery after path break, incurring high cost to detect the disconnection and to establish a new route. Specifically, when a path is liable to break, the source is warned about the likelihood of disconnection. The source then starts path discovery avoiding disconnection entirely. A path is likely to break when link availability
more &raquo; ... reases. Since routing is nondeterministic polynomial (NP) hard, this work proposes an improved ad hoc on-demand multipath distance vector (AOMDV) based on link availability, neighboring node's queuing delay, node mobility, and bit error rate. The optimal path is selected using BAT meta-heuristic optimization. Simulation shows improved performance compared to AOMDV.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s13638-015-0385-3">doi:10.1186/s13638-015-0385-3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bko7ouunvbfy3opn5vs3ocjbra">fatcat:bko7ouunvbfy3opn5vs3ocjbra</a> </span>
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