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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

Lifetime of the network with selfish nodes.
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sensors-15-12932-f010: Lifetime of the network with selfish nodes.

Mentions: In this section, the lifetime of the network is shown in Figure 10 and Figure 11. We measure how long a network will sustain until any node exhausts. In Figure 10, with the increment of the initial energy of nodes, each method presents an increasing tendency in lifetime. Only a slow growth appears in DMRF as well as DMRF + LEACH. In DMRF, a small amount of nodes always exist in others’ forwarding candidate sets. These nodes will firstly run out of power. In DMRF + LEACH, compared with DMRF, although the network doubles in lifetime, issue of unequal size of clusters energy is still unsolved. Consequently, the lifetime of the network is directly relevant to cluster with the smallest size. Whereas in GTRF, by implementing FATP protocol [26], VA generates clusters with nearly equal sizes and guarantees the balance of energy cost, therefore, it can prolong the lifetime a lot.


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

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

Lifetime of the network with selfish nodes.
© Copyright Policy
Related In: Results  -  Collection

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

sensors-15-12932-f010: Lifetime of the network with selfish nodes.
Mentions: In this section, the lifetime of the network is shown in Figure 10 and Figure 11. We measure how long a network will sustain until any node exhausts. In Figure 10, with the increment of the initial energy of nodes, each method presents an increasing tendency in lifetime. Only a slow growth appears in DMRF as well as DMRF + LEACH. In DMRF, a small amount of nodes always exist in others’ forwarding candidate sets. These nodes will firstly run out of power. In DMRF + LEACH, compared with DMRF, although the network doubles in lifetime, issue of unequal size of clusters energy is still unsolved. Consequently, the lifetime of the network is directly relevant to cluster with the smallest size. Whereas in GTRF, by implementing FATP protocol [26], VA generates clusters with nearly equal sizes and guarantees the balance of energy cost, therefore, it can prolong the lifetime a lot.

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