Proceedings of the 2018 International Symposium on Communication Engineering & Computer Science (CECS 2018)

Opportunistic Routing Protocol Based on Geographical Location and Energy Balance

Authors
Huirong Luo, Li Wang
Corresponding Author
Huirong Luo
Available Online July 2018.
DOI
10.2991/cecs-18.2018.59How to use a DOI?
Keywords
transmission energy efficiency, link quality, residual energy, opportunity routing.
Abstract

In order to improve the life cycle of wireless sensor networks, An opportunistic routing protocol (GEBOR) based on geographic location and energy balance is proposed.The routing protocol comprehensively considers the transmission radius, link quality and residual energy threshold, and transmission energy efficiency (energy consumption/remaining energy), defines the new route metric.The node with the smallest route metric is selected as the next hop node.Finally, simulations are performed by OMNET++.The simulation results show that the proposed routing protocol can balance the energy consumption of nodes, prolong the lifetime of the nodes and the network, and improve the throughput of the system.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Symposium on Communication Engineering & Computer Science (CECS 2018)
Series
Advances in Computer Science Research
Publication Date
July 2018
ISBN
978-94-6252-571-9
ISSN
2352-538X
DOI
10.2991/cecs-18.2018.59How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Huirong Luo
AU  - Li Wang
PY  - 2018/07
DA  - 2018/07
TI  - Opportunistic Routing Protocol Based on Geographical Location and Energy Balance
BT  - Proceedings of the 2018 International Symposium on Communication Engineering & Computer Science (CECS 2018)
PB  - Atlantis Press
SP  - 340
EP  - 346
SN  - 2352-538X
UR  - https://doi.org/10.2991/cecs-18.2018.59
DO  - 10.2991/cecs-18.2018.59
ID  - Luo2018/07
ER  -