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An efficient chaos-LSA integrated game theory algorithm for a QoS-assured delay time control mechanism with a unique parent selection strategy for a 6LOWPAN wireless body area network

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Abstract

Through the progress in networking, wireless body area networks (WBANs) are becoming most popular in applications of medical as well as nonmedical fields. Real-time patient monitoring systems (R-TPM) create periodic data at short time period. Hence, R-TPM needs a reliable delay time control mechanism. In this manuscript, optimized game theory-based delay time control mechanism with unique parent selection strategy is proposed to improve the delay performance of 6LoWPAN wireless body area network. In IPv6 over low power wireless personal area network (6LoWPAN), 3 categories of sensor nodes are classified namely root node (RN), leaf node (LN) as well as intermediate node (IN). Root node or submerged node sends the link to another network. Here, intermediate node, which sends packets to the root as well as leaf nodes. In 6LoWPAN networks, while congestion occurs, LN begins to transmit large amounts of data packets for their parent nodes. Initially, noncooperative gaming method-based delay time control (NCG-DTC) defines an optimum data transfer rate of entire source nodes to evade delay in among IN. In order to optimize the parameter of power consumption and delay in noncooperative gaming method-based delay time control, chaotic lion swarm algorithm (Chaos-LSA) is proposed. To further improve the efficiency of network, new genetic inspired parent selection algorithm (NGIPSA) is proposed with a unique selection rule at low signal cost to routing data packets. Then, the simulations are executed in network simulator (NS2) tool. Finally, the proposed method attains low average signaling cost 8.9% and 5.29%, low delay17.34% and 11.36%, high packet delivery rate 95.45% and 91.77%, low energy consumption 7.5% and 9.25%, low latency 13.2% and 9.01%, low packet loss 9.22% and 6.21%, high network life time 95.46% and 92.88%, low overhead 12.03% and 14.71%, high residual energy 96.32% and 93.89% and high throughput 96.88% and 92.63% shows better performance when comparing with the existing method, such as network utility maximization with optimization depend hybrid congestion alleviation (OHCA) (NUM-OHCA) in 6LoWPA-WBAN as well as game theory-based congestion control framework (GTCCF) on 6LoWPA-WBAN.

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Author notes

  1. V. Sivakumar

    Present address: Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Vel Nagar, Avadi, Chennai, Tamil Nadu, India

Authors and Affiliations

  1. Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Vel Nagar, Avadi, Chennai, Tamil Nadu, India

    Sankara Srinivasa Rao Illapu

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  1. Sankara Srinivasa Rao Illapu
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  2. V. Sivakumar
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Correspondence to Sankara Srinivasa Rao Illapu.

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Illapu, S.S.R., Sivakumar, V. An efficient chaos-LSA integrated game theory algorithm for a QoS-assured delay time control mechanism with a unique parent selection strategy for a 6LOWPAN wireless body area network. Appl Nanosci 13, 3053–3071 (2023). https://doi.org/10.1007/s13204-022-02382-0

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