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A Novel Energy-Efficient Routing Probabilistic Strategies for Distributed and Localized Heterogeneous Wsn

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Abstract

This paper provides a theoretical model for the computation of the probability density function of multi-hop broadcast latency when using probabilistic broadcasting schemes in Wireless Sensor Networks. In this paper, a novel probabilistic approach is presented for directed data transmission without route discovery. In our model, we require each message can reach the BS successfully with a certain success probability and nodes which are located nearer to the base station relay messages with a certain relay probability. The relationship between the number of intermediate nodes and relay probability is analyzed and the condition for relay probability to guarantee a certain success probability of messages is obtained. This approach is robust, adaptive to change of topology of the sensor network and energy efficient. Implementation of this approach is discussed. Simulation helps to illustrate the main results obtained by analysis and shows that this approach is very energy efficient.

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Data Availability

 No datasets were generated or analyzed during the current study.

Abbreviations

IoT:

Internet-of-Things

WSN:

Wireless sensor networks

LEACH:

Adaptive hierarchy with low power consumption

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Author notes

  1. Sabri Yassine and Adil Hilmani: contributed equally to this work.

Authors and Affiliations

  1. Laboratory of Metrology and Information Processing (LMTI), Facuity of Sciences, Ibn Zohr University, Cité Dakhla, 8106, Agadir, MAR, Morocco

    Yassine Sabri

  2. RITM-ESTC/CED-ENSEM, University Hassan II, 8106, Casablanca, MAR, Morocco

    Adil Hilmani

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  1. Yassine Sabri
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  2. Adil Hilmani
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We attest that all authors contributed significantly to the creation of this manuscript. Authors’ information: Ph.D. Yassine Sabri, Ph.D. Najib Elkamoun (Moroccan University of Science and Technology, 2022–2028) in Information and Communication Technology (ICT) aims at training scientists and engineers to design and develop innovative methodologies towards the design of systems, data processing, modeling, and applications, in the fields of electronic engineering, remote sensing, applied electromagnetics. Editorial Policies for: Springer journals and proceedings: https://www.springer.com/gp/editorial-policies. Nature Portfolio journals: https://www.nature.com/nature-research/editorial-policies. Scientific Reports: https://www.nature.com/srep/journal-policies/editorial-policies. BMC journals: https://www.biomedcentral.com/getpublished/editorial-policies.

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Correspondence to Yassine Sabri.

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Sabri, Y., Hilmani, A. A Novel Energy-Efficient Routing Probabilistic Strategies for Distributed and Localized Heterogeneous Wsn. Wireless Pers Commun 131, 39–61 (2023). https://doi.org/10.1007/s11277-023-10414-3

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