Abstract
Multi-Unmanned Aerial Vehicle (UAV) enabled Wireless Sensor Networks (WSNs) provide a wide range of applications, covering civilian and military expeditions along with geographical navigation, control, and reconnaissance. The coordinated networks formed between the UAVs and the WSNs help in enhancing the issues related to quality as well as coverage. The overall coverage issues result in starvation as an effect of long waiting time for the nodes, while forwarding the traffic. The coverage problem can be resolved by an intelligent choice of UAV way-points. Therefore, a specialized UAV mobility model is required which takes into account the topological structure as well as the importance of strategic locations to fix UAV way-points and decide the data transmission paradigm. To resolve this problem, a novel mobility model is proposed, which takes into account the attraction factor for setting up the way-points for UAV movements. The model is capable of deciding between the locations which result in more coverage, increased throughput with lesser number of UAVs employed, as justified by the simulation results and comparative evaluations.
Highlights
Unmanned aerial vehicles (UAVs) have shown tremendous growth, both in the areas of research and application
The multi-hop characteristics of Wireless Sensor Networks (WSNs) data transmission were replaced by direct communication between UAV and sensor nodes where UAVs served as sinks [7,8]
Together with path selection, the multi-hopping produces un-necessary traffic, delays and packet drops. These issues present an opportunity towards an efficient mobility model where WSN nodes are applied alongside UAV and help facilitate efficient data dissemination
Summary
Unmanned aerial vehicles (UAVs) have shown tremendous growth, both in the areas of research and application. UAVs prove significant when it comes to data gathering from inaccessible locations One such case is autonomous networking where UAVs help with raising the problem of coverage, failures, limiting guidance and dead nodes by acting as supervisors [3]. Together with path selection, the multi-hopping produces un-necessary traffic, delays and packet drops These issues present an opportunity towards an efficient mobility model where WSN nodes are applied alongside UAV and help facilitate efficient data dissemination. Survey and simulation-based approaches don’t suffice as the inherent inconsistencies of the erratic network behavior hinder the overall mathematical formulation of the scenario as well as the survey and simulation of every single scenario is not feasible. A novel mobility model for multi-UAV enabled Wireless Sensor networks is proposed which takes into account the attraction factor for setting up the way-points for UAV movements.
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