doi: 10.18178/JACN.2021.9.1.279
Energy Efficient and High Dissemination Rate Method Considering Extended Transmission Distances on a Wireless Sensor Network
Rimpei Kunimoto
1
,
Hiroyuki Hisamatsu
2
- 1 Graduate School of Information Science and Technology from Osaka University, 1-1 Yamada-oka, Suita-shi, Osaka, Japan
- 2 Graduate School of Information Science and Arts Osaka Electro-Communication University, 1130-70 Kiyotaki, Shijonawate, Osaka, Japan.
Abstract
From the electric power consumed by sensor nodes comprising a wireless sensor network, a very large proportion is used to transmit and receive information wirelessly. Because most sensor nodes are battery-powered, long-term operation requires unnecessary wireless transmission to be minimized. There is currently insufficient research on cases involving increased wireless transmission distance and the accompanying increased power consumption. This paper proposes a new, effective method for information dissemination in situations with increased wireless transmission distances. The proposed method is able to minimize power consumption by not performing transmission if the message is considered already disseminated. Additionally, with increased wireless transmission distance, the number of instances of cancelled message transmission increases, further reducing the transmission and reception loads. Simulations demonstrated that the proposed method is effective at keeping power consumption increases to a minimum while greatly improving information dissemination rates, even in cases with increased transmission distances. Unlike the existing methods, the proposed method can improve dissemination rates without increasing power consumption in sensor networks, making it highly innovative and effective.
Keywords
- Energy efficiency
- information dissemination
- sensor network
How to Cite
Rimpei Kunimoto and Hiroyuki Hisamatsu, "Energy Efficient and High Dissemination Rate Method Considering Extended Transmission Distances on a Wireless Sensor Network," Journal of Advances in Computer Networks, vol. 9, no. 1, pp. 1-7, 2021. https://doi.org/ 10.18178/JACN.2021.9.1.279
Copyright & License
Copyright © 2021 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).