A Statistical Tool for Time Synchronization Problem in WSN

Author:

Upadhyay D.1,Dubey A.K.2,Thilagam P.S.3

Affiliation:

1. Department of Computer Science & Engineering, Amity University, Uttar Pradesh, Noida, India

2. Department of Electronics & Communication Engineering, Amity University, Uttar Pradesh, Noida, India

3. Department of Computer Science & Engineering, National Institute of Technology, Karnataka, India

Abstract

Background: In recent research, time synchronization has a great importance in the various application of wireless sensor network. Localization, tracking, message passing using contention-based schemes and communication are some of the fields where synchronization between sensor clocks is highly required. Therefore, several algorithms were designed to achieve a rational and reliable frame of time within the wireless sensor network. Patents related to time synchronization in WSN were also analyzed. Methods: This paper discusses the powerful statistical tool using maximum probability theory for synchronizing the time within the sensor's clock. In this paper, maximum probability theory is applied to estimate the best value of clock offset between two sensor clocks. The proposed algorithm is analyzed by exchanging timing messages between nodes using two-way message exchange schemes. Results: The proposed algorithm is also implemented along with a Time-Sync Protocol for Sensor Network. It reduces error deviation from 2.32 to 0.064 ms as compared with Time-Sync Protocol for Sensor Network without proposed works. Conclusion: It was observed that for a small network, proposed work gives better and efficient results with Time-Sync Protocol for Sensor Network.

Publisher

Bentham Science Publishers Ltd.

Subject

General Engineering

Reference24 articles.

1. Swain A, Hansdah R. A model for the classification and survey of clock synchronization protocols in WSNs.

2. Ting W, Di G, Chun-yang C, Xiao-ming T, Heng W. Clock synchronization in wireless sensor networks: analysis and design of error precision based on lossy networked control perspective.

3. Tian X, Miao Y, Hu T, Fan B, Pan J, Xu W.

4. Xing Y, Chen Y, Yi W, Duan C. Time synchronization for wireless sensor networks using adaptive linear prediction.

5. Bandeira AS, Boumal N, Singer A. Tightness of the maximum likelihood semidefinite relaxation for angular synchronization.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3