Optimized mobility models for disaster recovery using UAVs

Wireless networks face limitations such as energy consumption that varies due to topological changes in the network, limited energy resources, transmission cost that are relatively high and limited processing capabilities. This research explored optimization of efficient protocols and mobility models for MANETs (Mobile Ad hoc Networks) in an example application scenario within disaster recovery. The aim being to improve on benchmark parameters for energy-efficiency and connectivity by designing or developing an optimum mobility model and selecting a suitable protocol. This model will optimize throughput in a delay tolerant network with energy efficiency as a plus. Existing research work was considered and based on performance metrics such as throughput, packet delivery fraction, end-end delay, etc., an experimentation was carried out using Riverbed 18.0 to test the scalability of routing protocols; AODV, DSR, TORA, GRP and OLSR in conjunction with various mobility models. A suitable protocol and a mobility model were identified and are being modified to be highly adaptive to topology changes and show network resilience in terms of network routing load, network density and mobility.