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GTRF: a game theory approach for regulating node behavior in real-time wireless sensor networks.

Lin C, Wu G, Pirozmand P - Sensors (Basel) (2015)

Bottom Line: In the second stage, a jumping transmission method is adopted, which ensures that real-time packets can be successfully delivered to the sink before a specific deadline.We prove that GTRF theoretically meets real-time requirements with low energy cost.Simulation results show that GTRF not only balances the energy cost of the network, but also prolongs network lifetime.

View Article: PubMed Central - PubMed

Affiliation: School of Software, Dalian University of Technology, Road No. 8, Development Zone, Dalian 116620, China. c.lin@dlut.edu.cn.

ABSTRACT
The selfish behaviors of nodes (or selfish nodes) cause packet loss, network congestion or even void regions in real-time wireless sensor networks, which greatly decrease the network performance. Previous methods have focused on detecting selfish nodes or avoiding selfish behavior, but little attention has been paid to regulating selfish behavior. In this paper, a Game Theory-based Real-time & Fault-tolerant (GTRF) routing protocol is proposed. GTRF is composed of two stages. In the first stage, a game theory model named VA is developed to regulate nodes' behaviors and meanwhile balance energy cost. In the second stage, a jumping transmission method is adopted, which ensures that real-time packets can be successfully delivered to the sink before a specific deadline. We prove that GTRF theoretically meets real-time requirements with low energy cost. Finally, extensive simulations are conducted to demonstrate the performance of our scheme. Simulation results show that GTRF not only balances the energy cost of the network, but also prolongs network lifetime.

No MeSH data available.


Related in: MedlinePlus

Energy cost with fixed source and fixed sink without selfish nodes.
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sensors-15-12932-f005: Energy cost with fixed source and fixed sink without selfish nodes.

Mentions: When the source node and the sink node are fixed, the energy cost distribution results are shown in Figure 4 and Figure 5.


GTRF: a game theory approach for regulating node behavior in real-time wireless sensor networks.

Lin C, Wu G, Pirozmand P - Sensors (Basel) (2015)

Energy cost with fixed source and fixed sink without selfish nodes.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4507704&req=5

sensors-15-12932-f005: Energy cost with fixed source and fixed sink without selfish nodes.
Mentions: When the source node and the sink node are fixed, the energy cost distribution results are shown in Figure 4 and Figure 5.

Bottom Line: In the second stage, a jumping transmission method is adopted, which ensures that real-time packets can be successfully delivered to the sink before a specific deadline.We prove that GTRF theoretically meets real-time requirements with low energy cost.Simulation results show that GTRF not only balances the energy cost of the network, but also prolongs network lifetime.

View Article: PubMed Central - PubMed

Affiliation: School of Software, Dalian University of Technology, Road No. 8, Development Zone, Dalian 116620, China. c.lin@dlut.edu.cn.

ABSTRACT
The selfish behaviors of nodes (or selfish nodes) cause packet loss, network congestion or even void regions in real-time wireless sensor networks, which greatly decrease the network performance. Previous methods have focused on detecting selfish nodes or avoiding selfish behavior, but little attention has been paid to regulating selfish behavior. In this paper, a Game Theory-based Real-time & Fault-tolerant (GTRF) routing protocol is proposed. GTRF is composed of two stages. In the first stage, a game theory model named VA is developed to regulate nodes' behaviors and meanwhile balance energy cost. In the second stage, a jumping transmission method is adopted, which ensures that real-time packets can be successfully delivered to the sink before a specific deadline. We prove that GTRF theoretically meets real-time requirements with low energy cost. Finally, extensive simulations are conducted to demonstrate the performance of our scheme. Simulation results show that GTRF not only balances the energy cost of the network, but also prolongs network lifetime.

No MeSH data available.


Related in: MedlinePlus