<span lang="EN-US">The packet forwarding node selection is one of the main constraints in the Software Defined Network (SDN). To improve the network performance, the SDN controller has to choose the shortest and optimised path between source and destination in routine and emergency packet transmission. In e-health service, information of the emergency patient has to be transferred immediately to remote hospitals or doctors by using efficient packet routing approach in Wireless Body Area Network (WBAN). In WBAN, to improve the packet transmission, the optimal packet routing policy developed based on packets priority with the support of a greedy algorithm for SDN. The SDN Controller selects the forwarding node based on node propagation delay and available bandwidth between two forwarding nodes. The mesh network topology network created for implementation, implementation results are compared with existing research works. Finally, this algorithm implemented in our institution, Software defined communication testbed laboratory (SDCTestbed Lab) with the support of 13 Zodiac-Fx (Forwarding device), 2 Raspberry-Pi3 B+ Model (host) and Arduino kit (sensor node).</span>

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Abstract:In MANET, each node is needed to maintain its location information with the neighbor nodes for geographic routing. For this purpose they transmit the beacon packet periodically, which is not efficient in geographic routing due to packet collision. Also it has its effects in terms of update cost. Further the inaccuracy in local topology has its impact on the performance geographic routing. To overcome this in this paper we introduce the prediction scheme for Beacon Update and a prediction Scheme for Link Expiration Time. For geographic routing we use Greedy Perimeter Stateless Routing (GRPS) Protocol with greedy techniques, which select its next hop based on the optimization criteria. When greedy fails in selecting the next node nearest to destination we use perimeter rule which search over the perimeter of the node for destination node. Using the Mobility prediction scheme for Beacon technique in GPSR we try to decrease the update cost and increase accuracy of local topology.

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