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This project seeks a robust, secure and scalable Wireless Mesh Network (WMN) for networking Unmanned Air vehicles (UAVs) for bulk data transfer and multimedia streaming through the design of low complexity medium access, routing and transport protocol layers. The system should have low overheads, comprehensive security that addresses threats at various layers with no counter effects on performance in terms of latency and throughput. For UAV networks, that require high security it is not advisable to have dedicated low mobility UAV mesh routers (typical of WMN) that are crucial to the network, as it makes them highly visible and easy targets both from a physical and security perspective. Hence we use a cluster based approach, where a cluster has the flexibility of supporting clients at multiple hops from the Cluster Head (CH) and the size of cluster and number of hops from CH can be controlled for optimal performance. This approach has the following attractive features Robustness - reduced dependency on dedicated devices, protocols and better load balancing while avoiding the necessity for multiple protocols with associated conversions and delays; Flexibility- as any UAV in the network can take the role of a CH – a role that can be randomly rotated using defined criteria and simple algorithm; Wireless Mesh Networks for UAVs Security - the rotation of the CH role avoids visibility. On the failure or compromise of a CH, other nodes that are monitoring its behavior can re-elect a new CH; Fallback to WMN - In the event dedicated nodes are used, they would be natural candidates for CH and the network fallsback to the more traditional WMN The comprehensive solution includes a robust medium access, a novel routing and forwarding algorithm, a suitable transport layer, and low-overhead security features, some of which are inherent in the proposed schemes. The solution also provides a heuristic cluster creation algorithm, inter-cluster and intra-cluster routing and traffic regulation and security through the CH. Year 2006, Funded - Department of Defense, Nirmala Shenoy, Yin Pan, Spectracomcorp, Rochester