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TRiForm: Formation Control for Underwater Sensor Networks With Measurement Errors

Hejun Wu, Zhongheng Yang, Jiannong Cao, Liqian Lai

2020IEEE Transactions on Vehicular Technology13 citationsDOIOpen Access PDF

Abstract

The formation control of mobile underwater wireless sensor networks (MUWSNs) is difficult due to the severe errors in distance and motion measurements. To address this problem, we propose a distributed formation control scheme, TRiForm (Triangle Formation). TRiForm constructs a virtual structure that is a rigid graph formed by triangles of nodes in an MUWSN for high reliability and efficiency in formation control. Furthermore, it utilizes the anchor information to detect and to compensate for measurement errors. We have proven the correctness of the rigidity graph construction by TRiForm. We have also evaluated TRiForm in various scenarios using simulation with the measured parameters from real underwater sensor nodes. The results show that TRiForm can successfully maintain the formations of an MUWSN and control the MUWSN to reach the predefined destination under distance and motion measurement errors.

Topics & Concepts

CorrectnessWireless sensor networkUnderwaterComputer scienceMotion controlRigidity (electromagnetism)Real-time computingObservational errorReliability (semiconductor)Control theory (sociology)EngineeringControl (management)AlgorithmArtificial intelligenceComputer networkRobotMathematicsPhysicsStructural engineeringStatisticsOceanographyQuantum mechanicsPower (physics)GeologyUnderwater Vehicles and Communication SystemsDistributed Control Multi-Agent SystemsEnergy Efficient Wireless Sensor Networks
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