A Distributed Anticipatory Life- Enhancing Recovery Approach for Unmanned Aerial Vehicular Networks

Rapidly growing research in the field of Unmanned Aerial Vehicles (UAVs) has redrawn the application map for UAVs that now incorporates personal to public side applications apart from having just military domain within its boundary. Despite numerous practical advantages, UAV s systems are not utilized up to their full potential owing to the characteristics of higher mobility and limited lifetime of on-board batteries. In multi-hop real-time systems, abrupt movement or early depletion of energy resources for some overloaded UAV s may result in the creation of a network hole or even in a breakdown of the whole network. In this article, a new Life-Enhancing recovery Approach for a Multi-UAVs (LEAMU) network is proposed that not only provides a routing solution but also serves as a fail-safe method. The crux of the LEAMU is the identification of the best recovering UAV since the selection of an unhealthy UAV will result in more recovery requests afterward. In LEAMU, network hole creation is avoided beforehand through a distributed election of a suitable candidate keeping distance, remaining energy, neighborhood density, and traffic load factors into consideration. The proposed strategy is simulated and has shown to have a promising future for its integration into the existing UAV systems.