Abstract
Wireless sensor networks are generally used to assist in collecting and transmitting data where humans cannot directly explore. But in a scenario with complex terrestrial environment, the ground communication links between sensors become so weak to provide reliable and high-speed services. Unmanned aerial vehicles (UAVs) can be used as flying relays to enhance connective reliability of terrestrial wireless sensor networks. However, in a UAV-assisted wireless senor network, if the UAV shares the same spectrum with sensors, the interference degrades the quality of communication links when sensors exist in pairs under co-channel conditions. Motivated thereby, we manage the interference by optimizing the transmit power of all communication nodes and planning the trajectory of UAV to achieve the goal of maximizing the sum throughput of the target sensor. Due to the nonconvexity of the optimization problems, we utilize difference of two convex functions (D.C.) programming and successive convex approximation to obtain the suboptimal solutions. Simulation results prove that the minimum signal-to-interference-plus-noise ratio (SINR) required by sensor pairs, flight altitude and maximum transmit power of the UAV can be carefully selected to maximize the sum throughput of target sensor, when the UAV's trajectory is pre-planned. The successive trajectory planning algorithm is also employed to significantly improve the sum throughput.
Highlights
Wireless sensor nodes are often used to collect and transmit data in Internet of Things (IoT) applications where humans cannot directly explore
When minimum signal-to-interference-plus-noise ratio (SINR) required by sensor receivers is 10 dB, and the maximum transmit power of the Unmanned aerial vehicles (UAVs) is less than 5 W, the sum throughput of Case II is the highest and the sum throughput of Case III is the lowest
Due to the non-convexity of the objective function, we decompose the original problem into two subproblems: the transmit power control with given trajectory and the trajectory planning with given transmit power
Summary
Wireless sensor nodes are often used to collect and transmit data in Internet of Things (IoT) applications where humans cannot directly explore. De Freitas et al in [10] study the use of UAV relay to enhance the connectivity of ground wireless networks, and obtain the optimal deployment position of UAV to ensure information reliability. B. MOTIVATION AND CONTRIBUTIONS Motivated by above works, in order to solve the co-channel interference problem in UAV-assisted wireless senor networks, where a UAV acting as a flying relay to forward. We introduce a system model that utilizing a UAV relay to assist poor communication scenario and simultaneously reduce the interference between the UAV and terrestrial sensor pairs. By managing the transmit power of all communication nodes and planning the UAV’s trajectory, we maximize the sum throughput at the UAV’s target sensor.
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