A Dynamic Resource-Aware Routing Protocol in Resource-Constrained Opportunistic Networks
Recently, Opportunistic Networks (OppNets) are considered to be one of the most attractive developments of Mobile Ad Hoc Networks that have arisen thanks to the development of intelligent devices. OppNets are characterized by a rough and dynamic topology as well as unpredictable contacts and cont...
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Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Tech Science Press
2021
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Subjects: | |
Online Access: | http://ir.unimas.my/id/eprint/37879/1/Opportunistic1.pdf http://ir.unimas.my/id/eprint/37879/ https://www.techscience.com/cmc/v70n2 |
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Institution: | Universiti Malaysia Sarawak |
Language: | English |
Summary: | Recently, Opportunistic Networks (OppNets) are considered to be
one of the most attractive developments of Mobile Ad Hoc Networks that
have arisen thanks to the development of intelligent devices. OppNets are
characterized by a rough and dynamic topology as well as unpredictable contacts and contact times. Data is forwarded and stored in intermediate nodes
until the next opportunity occurs. Therefore, achieving a high delivery ratio in
OppNets is a challenging issue. It is imperative that any routing protocol use
network resources, as far as they are available, in order to achieve higher network performance. In this article, we introduce the Resource-Aware Routing
(ReAR) protocol which dynamically controls the buffer usage with the aim of
balancing the load in resource-constrained, stateless and non-social OppNets.
The ReAR protocol invokes our recently introduced mutual informationbased weighting approach to estimate the impact of the buffer size on the
network performance and ultimately to regulate the buffer consumption in
real time. The proposed routing protocol is proofed conceptually and simulated using the Opportunistic Network Environment simulator. Experiments
show that the ReAR protocol outperforms a set of well-known routing protocols such as EBR, Epidemic MaxProp, energy-aware Spray and Wait and
energy-aware PRoPHET in terms of message delivery ratio and overhead ratio. |
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