Abstract
In order to solve the problem that the transmission link of wireless volume domain network is likely to be interrupted and consume unnecessary energy, this paper introduces probability statistics and proposes a research on energy saving of wireless volume domain network multi-relay nodes based on probability statistics. The energy consumption of network is analyzed and the formula of total energy consumption per bit network is derived. The simulation results show that compared with the traditional multi-path multi-relay node forwarding method, this method can greatly reduce the overall energy consumption of the network. Consumption also plays a role. This method can reduce the overall energy consumption of the network and prolong the life cycle of the network. When the optimal relay node is used for transmission, the transmission power is greatly increased.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Chu, H., Meng, L.: A new design of distributed-space time block codes in relaying networks. Study Opt. Commun. 43(3), 70–74 (2017)
Bao Military Commission, Xu, D., Zhang, R., et al.: Compress-and-forward system based on heterogeneous multi-relay network. J. Data Acquisit. Process. 34(3), 432–441 (2019)
Yang, L., Huang, K., Pinzhang, Y.: Resource joint allocation based on energy efficiency in cognitive collaboration radio network. Comput. Eng. 44(1), 134–138 (2018)
Wang, W., Zhao, S., Huang, G., et al.: The throughput analysis in cooperative communication based on relaying energy harvesting. Sci. Technol. Eng. 5(35), 38–42 (2018)
Chu, W., Zhang, Q.: Power allocation optimization strategy based on full-duplex relay network. Comput. Eng. 44(1), 149–153 (2018)
Yao, L., Jin, Y., Gu, J.: Research on private data retrieval algorithm in cloud for WBAN based on dynamic clustering and SS Tree. Comput. Dig. Eng. 47(2), 360–366 (2019)
Chen, J., Zhou, Y., Wang, T., et al.: Body area network node sleep strategy based on sparse representation. Modern Electron. Tech. 40(17), 15–19 (2017)
Tang, Z., Srivastava, G., Liu, S.: Swarm intelligence and ant colony optimization in accounting model choices. J. Intell. Fuzzy Syst. (Preprint):1–9
Lu, M., Liu, S.: Nucleosome positioning based on generalized relative entropy. Soft. Comput. 23(19), 9175–9188 (2018). https://doi.org/10.1007/s00500-018-3602-2
Shuai, L., Weiling, B., Nianyin, Z., et al.: A fast fractal based compression for MRI images. IEEE Access 7, 62412–62420 (2019)
Andreas, W.: Autonomous allocation of wireless body-sensor networks to frequency channels: modeling with repeated “balls-in-bins” experiments. Wirel. Networks 17(5), 1–18 (2018)
Moravejosharieh, A.H., Lloret, J.: Mitigation of mutual interference in IEEE 802.15.4-based wireless body sensor networks deployed in e-health monitoring systems. Wirel. Networks, 26(12), 258–266 (2020)
Chandrasekaran, B., Balakrishnan, R., Nogami, Y.: TF-CPABE: An efficient and secure data communication with policy updating in wireless body area networks[J]. ETRI J. 41(10), 56–68 (2019)
Rubani, Q., Gupta, S.H., Pani, S., et al.: Design and analysis of a terahertz antenna for wireless body area networks[J]. Optik 179(15), 684–690 (2019)
Liu, S., Liu, D., Srivastava, G., et al.: Overview and methods of correlation filter algorithms in object tracking. Complex Intell. Syst. (2020). https://doi.org/10.1007/s40747-020-00161-
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Diao, Tb., Wu, He., Zeng, Sy. (2021). Analysis of Energy Saving Method for Multiple Relay Nodes in Wireless Volume Domain Network. In: Liu, S., Xia, L. (eds) Advanced Hybrid Information Processing. ADHIP 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 348. Springer, Cham. https://doi.org/10.1007/978-3-030-67874-6_20
Download citation
DOI: https://doi.org/10.1007/978-3-030-67874-6_20
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-67873-9
Online ISBN: 978-3-030-67874-6
eBook Packages: Computer ScienceComputer Science (R0)