Unmanned Aerial Vehicle (UAV) networks require successful mission execution, which is dependent ontask planning and control. In this paper, we propose a distributed task allocation algorithm for a multi-UAV sensor network for sensing thorium intensities in the coastal areas ofIndia. A power-aware coordination and planning approach is used tocoordinate the activities of multiple UAVs. Depending on the availability of resources in each sensing UAV unit, each UAV initiates a task-scheduling algorithm and distributes its remaining tasks dynamically to other UAVs. The control station sends control information to the UAVs and receives the sensed parameters along with the location information from each UAV. The task allocation algorithm was simulated successfully using a network of static motes. The network was more effective andefficient with the use of this task allocation algorithm, thus contributing to improved mission execution in UAV networks.

Team Members Leader Of the Team Faculty Student

Sethuraman Rao

Simi S.


Rakesh K.

RESEARCH AREAS Landslide Monitoring Healthcare Applications Water Quality Monitoring Remote Triggered Lab Underground Sensor Network Wireless Smart Grid Wireless surveillance Power Optimization Issues Heterogenous Wireless Networks and Network mobility Real-time video steaming and QoS Crowd Disaster Monitoring and Mitigation Wireless Robotics Participatory Sensing Mobile Adhoc Network Avoiding Water Vessel Collisions Wireless Power Transfer to Underground Sensors Multi-UAV Sensor Network Parametric Analysis Solar Thermal Energy System Solar Thermal Cooking System