Abstract:A mobile ad-hoc network (MANET) is a network of wireless nodes with high mobility. Mobile nodes change their position quickly in any direction and speed, and follow an infrastructure-less network. Although there are many mobility models and protocols available to find the path between any two nodes, the challenge in retaining the path still remains unchanged. In general, a permanent path between any source and destination does not exist because of the node mobility. Path retention is essential for certain applications like in the military, disaster and rescue operations where an infrastructureless network like MANET is only feasible. In this paper an algorithm named 'Animal Communication Strategy (ACS)' is proposed to improve path construction and retention based on animal behaviour. Most of the time animals are found aggregated in the form of clusters. The cluster may undergo dispersal, reformation and reunion due to sudden changes. Each and every animal, who is aware of the changes, will immediately take the responsibility of communicating with their neighbours in the cluster. This impressive and cooperative behaviour of animals was adopted in the ACS algorithm. ACS algorithm is tested for performance using NS2 simulator. The results show a significant improvement with ACS for the metrics packet loss, delay and overhead when compared to the existing protocol in MANET routing.
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