Optimum Trajectory Planning for Robotic Data Ferries in Delay Tolerant Wireless Sensor Networks

Nurellari, Edmond, Licea, Daniel Bonilla and Ghogho, Mounir (2019) Optimum Trajectory Planning for Robotic Data Ferries in Delay Tolerant Wireless Sensor Networks. In: European Signal Processing Conference, 2-6 September, A Coruna, Spain.

Full content URL: https://ieeexplore.ieee.org/document/8902955

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Optimum Trajectory Planning for Robotic Data Ferries in Delay Tolerant Wireless Sensor Networks
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Abstract

We consider the issue of energy efficient data collection in the context of a mobile robot-aided delay tolerant wireless sensor network (DTSN). The latter is composed of static nodes (SNs), a fusion center (FC) and a mobile robot (MR), which acts as a data ferry in order to reduce energy consumption at the SNs, thereby increasing their lifetime. The considered wireless channel model accounts for both path loss and shadowing. We propose a method to optimise the trajectory of the MR so as to minimise the overall energy consumption of the DTSN, while controlling the latency of the end-to-end transmission and maintaining the number of bits in the SNs' buffers bounded. Simulation results show the effectiveness of the proposed solution in reducing the energy consumption of the DTSN.

Keywords:Wireless Sensor Networks, Energy Efficiency, Mobile Robot, delay tolerant networks
Subjects:H Engineering > H600 Electronic and Electrical Engineering
H Engineering > H640 Communications Engineering
H Engineering > H670 Robotics and Cybernetics
Divisions:College of Science > School of Engineering
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ID Code:38989
Deposited On:03 Dec 2019 09:52

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