JISE


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Journal of Information Science and Engineering, Vol. 35 No. 4, pp. 737-748


A Cooperative Game Theoretic Approach for Congestion Management in 6LoWPAN


G. RAJESH1 AND R. RANJITHA2
Department of Information Technology
Anna University
Chennai, 600044 India
E-mail:
1raajiimegce@gmail.com; 2ranjithamercy@gmail.com


The internet of (IoT) is things a computing idea that describes the concept of everyday physical objects being connected to the web and having the ability to spot themselves to alternative devices. The Internet Engineering Task Force (IETF) has developed a set of IPv6-based protocols to overcome the challenges of connecting resource-limited wireless sensor nodes to the Internet. In that  6LoWPAN networks, due to the scalable number of devices, heavy network traffic causes congestion which significantly influences the network performance and affects the network QoS parameters. The proposed system of this paper includes the cooperative game theoretic approach for congestion prediction and buffer sharing algorithm (BSA) to reduce congestion in the 6LoWPAN network due to the buffer overflow. Simulation results of the proposed system imply that this outperforms by an average of 52%, 41.71%, 26.19% in terms of throughput, end-to-end latency, and energy consumption respectively as compared to existing GTCCF (game theory based congestion control framework) algorithm.


Keywords: congestion control, cooperative game theory, buffer sharing algorithm, 6LoWPAN networks, IoT applications

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