Segmentation Energy-Saving Routing Strategy Based on Effective Energy Consumption Perception in DTNs

Delay-Tolerant Networks (DTNs) are commonly utilized in the challenging environment, serving as a valuable complement to conventional networks. In such a context, energy efficiency is of paramount significance. The existing researches on energy saving algorithms in DTNs neglect the influence of different stages of message transmission on the energy consumption. This paper categorizes node energy consumption into two distinct categories, namely, basic and effective energy consumption. On this basis, a segmentation Energy-Saving routing strategy based on Effective Energy Consumption Perception (EECP-SES) is further developed. The strategy segments the service status of nodes, and enhances the scanning interval function of the exponential distribution function via regulating the basic energy consumption, monitoring the effective energy consumption rate, and introducing an energy consumption balance mechanism. The EECP-SES strategy was then implemented on two classical routing algorithms in the conducted simulation experiments. Experiments have demonstrated that the implementation of the EECP-SES yields favorable outcomes in terms of prolonging network service duration and achieving successful message delivery. Compared with six other strategies, EECP-SES strategy helps the Epidemic algorithm extend network service time by 26.57% to 104.89%, helps Prophet algorithm extend network service time by 42.56% to 114.67%.

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Published
2024-12-13
DOI
https://doi.org/10.1109/hpcc64274.2024.00131
Primary Topic
Opportunistic and Delay-Tolerant Networks
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article
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article

Segmentation Energy-Saving Routing Strategy Based on Effective Energy Consumption Perception in DTNs

Min Wang, Jianqun Cui, T. Y. Wang, Yi Yang et al.
Opportunistic and Delay-Tolerant Networks
article

Segmentation Energy-Saving Routing Strategy Based on Effective Energy Consumption Perception in DTNs

Min Wang, Jianqun Cui, T. Y. Wang, Yi Yang, Feng Huang, Yanan Chang
article en

Abstract

Delay-Tolerant Networks (DTNs) are commonly utilized in the challenging environment, serving as a valuable complement to conventional networks. In such a context, energy efficiency is of paramount significance. The existing researches on energy saving algorithms in DTNs neglect the influence of different stages of message transmission on the energy consumption. This paper categorizes node energy consumption into two distinct categories, namely, basic and effective energy consumption. On this basis, a segmentation Energy-Saving routing strategy based on Effective Energy Consumption Perception (EECP-SES) is further developed. The strategy segments the service status of nodes, and enhances the scanning interval function of the exponential distribution function via regulating the basic energy consumption, monitoring the effective energy consumption rate, and introducing an energy consumption balance mechanism. The EECP-SES strategy was then implemented on two classical routing algorithms in the conducted simulation experiments. Experiments have demonstrated that the implementation of the EECP-SES yields favorable outcomes in terms of prolonging network service duration and achieving successful message delivery. Compared with six other strategies, EECP-SES strategy helps the Epidemic algorithm extend network service time by 26.57% to 104.89%, helps Prophet algorithm extend network service time by 42.56% to 114.67%.

Northeastern Illinois University (US), Central China Normal University (CN), Hubei University (CN)
Affordable and clean energy
Openalex Percentile: Top 64%
Opportunistic and Delay-Tolerant Networks
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Segmentation Energy-Saving Routing Strategy Based on Effective Energy Consumption Perception in DTNs — Min Wang, Jianqun Cui, et al. · (2024) | TGRS Research Map | TGRS