An Energy-Saving Routing Algorithm for Opportunity Networks Based on Sleeping Mode

No Thumbnail Available
File version
Author(s)
Zhou, Chunyue
Tian, Hui
Dong, Yaocong
Zhong, Baitong
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
2019
Size
File type(s)
Location

Gold Coast, Australia

License
Abstract

Opportunistic network is a type of tolerant delay network (DTN). Establishing routing path from the source node to the destination node may not be possible. So the traditional routing algorithms are not suitable for this network except the Epidemic. But due to its replication characteristics, the energy of node will be used up quickly. Many researchers have achieved lots of results on how to forwarding data strategically in Epidemic, but pay little attention to the energy consumption of nodes. This paper proposes an energy-saving algorithm named ERSE which combines the asynchronous sleep mechanism. The ERSE is based on the node communication model, making the node enter the sleeping state when it's not active. It also controls the sleep duration dynamically to ensure that the node does not miss the communication opportunities. ERSE makes the low-energy state nodes enter a forced sleeping state at the same time to avoid them going to use up their energy quickly. The simulation results show that ERSE routing algorithm can greatly save the energy consumption of nodes.

Journal Title
Conference Title

Proceedings of the 20th International Conference on Parallel and Distributed computing, Applications and Technologies (PDCAT2019)

Book Title
Edition
Volume
Issue
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
Item Access Status
Note
Access the data
Related item(s)
Subject

Distributed computing and systems software

Persistent link to this record
Citation

Zhou, C; Tian, H; Dong, Y; Zhong, B, An Energy-Saving Routing Algorithm for Opportunity Networks Based on Sleeping Mode, Proceedings of the 20th International Conference on Parallel and Distributed computing, Applications and Technologies (PDCAT2019), 2019