Message Passing Based Time Synchronization in Wireless Sensor Networks: A Survey

Author:

Sarvghadi Mohammad Ali1,Wan Tat-Chee2

Affiliation:

1. School of Computer Sciences, Universiti Sains Malaysia (USM), 11800 Penang, Malaysia

2. School of Computer Sciences/National Advanced IPv6 Centre (NAV6), Universiti Sains Malaysia (USM), 11800 Penang, Malaysia

Abstract

Various protocols have been proposed in the area of wireless sensor networks in order to achieve network-wide time synchronization. A large number of proposed protocols in the literature employ a message passing mechanism to make sensor node clocks tick in unison. In this paper, we first classify Message Passing based Time Synchronization (MPTS) protocols and then analyze them based on different metrics. The classification is based on the following three criteria: structure formation of the network affected by the synchronization protocol, frequency of synchronization process (synchronization interval), and synchronization message overhead. Proposed protocols are analyzed and evaluated from different perspectives based on available data. A comparison table of the reviewed protocols is presented according to the evaluation metrics. Finally, some potential methods will be proposed to improve the synchronization process.

Funder

Universiti Sains Malaysia

Publisher

SAGE Publications

Subject

Computer Networks and Communications,General Engineering

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1. Energy-Efficient Synchronization in Industrial Internet of Things: An Intelligent Neighbor-Knowledge Approach;IEEE Transactions on Industrial Informatics;2024-06

2. Distributed and Efficient Slot Assignment–Alignment Protocol for Resource-Constrained Wireless IoT Devices;IEEE Internet of Things Journal;2023-05-15

3. A Survey on Clock Synchronization in the Industrial Internet;Journal of Computer Science and Technology;2023-01-31

4. Fast Reference Node Scheduling for Time Synchronization in Industrial Wireless Sensor Networks;2022 13th International Conference on Information and Communication Technology Convergence (ICTC);2022-10-19

5. SLES: Scheduling-Based Low Energy Synchronization for Industrial Internet of Things;IEEE Sensors Journal;2022-08-15

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