Abstract:
Wireless Sensor Networks (WSNs) suffer from enormous energy consumption when sensor nodes transmit data over long distances. Hence, this letter develops an Unmanned Aeria...Show MoreMetadata
Abstract:
Wireless Sensor Networks (WSNs) suffer from enormous energy consumption when sensor nodes transmit data over long distances. Hence, this letter develops an Unmanned Aerial Vehicle (UAV)-assisted sparse sensing algorithm to address this issue. Specifically, the data from the sensor nodes are locally stored and are sparsely sampled through Compressive Sensing (CS), while a UAV is utilized as a mobile base station to collect data from the partial sensor nodes. In the proposed UAV and WSN system, the energy consumption minimization problem is formulated as a combinatorial optimization problem, which is solved utilizing a joint sparse sensing and Greedy algorithm based on a Neighborhood Search Strategy (GNSS). Extensive experiments demonstrate that the proposed algorithm achieves a sparse measurement with a smaller error and decreases energy consumption.
Published in: IEEE Wireless Communications Letters ( Volume: 12, Issue: 6, June 2023)