A markov model for investigating the impact of IEEE802.15.4 MAC layer parameters and number of clusters on the performance of wireless sensor networks
In this paper, a new analytical model is presented for cluster-based sensor networks using the non-beacon-enabled mode of IEEE802.15.4 MAC protocol. To accurately investigate the impact of MAC parameters and the number of clusters in the cluster-based networks, a new discrete-time Markov chain model...
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Veröffentlicht in: | Wireless networks 2019-10, Vol.25 (7), p.4415-4430 |
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creator | Hadaidian Nejad Yousefi, Hossein Seifi Kavian, Yousef Mahmoudi, Alimorad |
description | In this paper, a new analytical model is presented for cluster-based sensor networks using the non-beacon-enabled mode of IEEE802.15.4 MAC protocol. To accurately investigate the impact of MAC parameters and the number of clusters in the cluster-based networks, a new discrete-time Markov chain model is proposed. To be more realistic and practical, these networks employ time-division multiple access and non-beacon-enabled IEEE 802.15.4 protocols for the intra-cluster and inter-cluster communications, respectively. The model parameters are derived from the characteristics of discrete-time Markov chain models. Three network parameters including packet delivery ratio, packet delay and energy consumption per successful packet transmission are derived from the model for performance evaluation. The results of the proposed model are validated with Monte Carlo simulation results. |
doi_str_mv | 10.1007/s11276-019-02105-4 |
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To accurately investigate the impact of MAC parameters and the number of clusters in the cluster-based networks, a new discrete-time Markov chain model is proposed. To be more realistic and practical, these networks employ time-division multiple access and non-beacon-enabled IEEE 802.15.4 protocols for the intra-cluster and inter-cluster communications, respectively. The model parameters are derived from the characteristics of discrete-time Markov chain models. Three network parameters including packet delivery ratio, packet delay and energy consumption per successful packet transmission are derived from the model for performance evaluation. 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subjects | Clusters Communications Engineering Computer Communication Networks Computer simulation Electrical Engineering Energy consumption Energy transmission Engineering IT in Business Markov analysis Markov chains Monte Carlo simulation Networks Packet transmission Parameters Performance evaluation Protocol (computers) Remote sensors Time Division Multiple Access Wireless networks Wireless sensor networks |
title | A markov model for investigating the impact of IEEE802.15.4 MAC layer parameters and number of clusters on the performance of wireless sensor networks |
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