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

Edmond Nurellari, Daniel Bonilla Licea, Mounir Ghogho

Year
2019
Citations
4

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

Computer scienceEnergy consumptionWireless sensor networkLatency (audio)Mobile robotContext (archaeology)Real-time computingComputer networkWirelessTrajectory

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