Energy Balanced Data Transmission Strategy for LWSN in Railway Environment Monitoring
Authors: 
Xuejie Wang, Cuiran Li, Wei Wu, Dongmei ZhouAuthors Info & Claims
Xuejie Wang, Cuiran Li, Wei Wu, Dongmei ZhouAuthors Info & ClaimsPages 189 - 194
Abstract
In linear wireless sensor network (LWSN) for railway environment monitoring, aiming at the problem that single-hop transmission aggravates the energy exhaustion of nodes and shortens the network lifetime, combining with the requirements on low energy consumption and high real-time of railway environment monitoring, an energy-balanced data transmission strategy for linear wireless sensor network is proposed. Based on the Lagrange multiplier method, it is verified that the energy consumption of non-uniform cluster head (CH) deployment is lower than that of uniform deployment, the CH complete the optimal deployment in a geometric progression, two-sided and the non-uniform manner. Based on this model, the mathematical relationship between the hop counts, CH energy consumption and the network lifetime of K-hop packet transmission strategy is established. Simulation results show that compared with single-hop transmission strategy, the proposed K-hop packet transmission strategy reduces the hop counts and the energy consumption difference of CH and consequently prolong the network lifetime by about 1.6 times, which meets the high requirements of real-time, energy consumption and robustness of the railway environment monitoring network.
References
[1]
N. Sazak and M. Ertug, "The effect of node deployment scheme on LWSN lifetime for railway monitoring applications," 2017 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS), Milan, 2017, pp. 1-4.
[2]
ZHAO Ya juan, Deployment Scheme of Linear Wireless Sensor Networks based on Increment of Equal Number Sequence[J]. Journal of China Academy of Electronics and Information Technology, 2018, 13(04): 389-393.
[3]
C. Xu, Z. Xiong, G. Zhao and S. Yu, "An Energy-Efficient Region Source Routing Protocol for Lifetime Maximization in WSN," in IEEE Access, vol. 7, pp. 135277-135289, 2019.
[4]
WANG Yuanping, BAO Yu, NI Yao, HU Yuan. Energy Balancing Algorithm in Linear Wireless Sensor Networks[J]. Journal of Chinese Computer Systems, 2016, 37(12):2627-2631.
[5]
S. Thomas, I. K. Gayathri and A. Raj, "Joint design of Dijkstra's shortest path routing and sleep-wake scheduling in wireless sensor networks," 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS), Chennai, 2017, pp. 981-986.
[6]
T. Huynh, A. Dinh-Duc and C. Tran, "Delay-constrained energy-efficient cluster-based multi-hop routing in wireless sensor networks," in Journal of Communications and Networks, vol. 18, no. 4, pp. 580-588, Aug. 2016.
[7]
G. Chen, Q. Meng and L. Zhang, "Chain-type wireless sensor network node scheduling strategy," in Journal of Systems Engineering and Electronics, vol. 25, no. 2, pp. 203-210, April 2014.
[8]
Heinzelman W R, Chandrakasan A, Balakrishnan H. Energy-efficient communication protocol for wireless microsensor networks//Proceedings of the 33rd annual Hawaii international conference on system sciences. IEEE, 2000,2:10.
[9]
LÜ Anqi, LI Cuiran, XIE Jianli, DUAN Baofeng. Optimization of Non-uniform Clustering in WSN for Railway Monitoring [J]. Journal of the China Railway Society, 2019,41(11):72-78.
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Published In
December 2020
266 pages
ISBN:9781450388559
DOI:10.1145/3446999
Copyright © 2020 ACM.
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Published: 09 April 2021
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