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An Improved Upper-Bounded Capacity Algorithm For Wireless Sensor Network

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Abstract

Capacity analysis is a hot topic in wireless sensor network research. This paper proposes an improved algorithm for the upper bound transmission capacity. Firstly, we introduce the signal-to-interference and noise ratio (SINR) interference model based on the traffic rate. The closed-form expression of the upper-bound transmission capacity was derived based on the Weber model for wireless sensor network, where the node distribution follows a Poisson point process. The effects of parameters such as communication range, density, and SINR threshold were evaluated through sensitivity analysis to determine the upper-bounded transmission capacity. The numerical simulation indicates that the upper limit of transmission capacity can be achieved with an optimum node density though dichotomizing searching algorithm. The results of simulation show capacity increases initially and then decreases as the node density increases

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Funding

The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.

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Authors and Affiliations

  1. College of Information Science and Technology, Zhejiang Shuren University, Hangzhou, 310005, China

    Zhangquan Wang

  2. College of Science, Zhejiang University of Technology, Hangzhou, 310023, China

    Kai Zhou

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  1. Zhangquan Wang
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  2. Kai Zhou
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Contributions

ZW: Conceptualization, Investigation, Undertook the data analysis, Methodology, Writing-original draft. KZ: supervised the data analysis, provided infrastructure, and Writing-reviewing and editing. All authors contributed to and have approved the final manuscript.

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Correspondence to Kai Zhou.

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Wang, Z., Zhou, K. An Improved Upper-Bounded Capacity Algorithm For Wireless Sensor Network. Wireless Pers Commun 135, 419–430 (2024). https://doi.org/10.1007/s11277-024-11046-x

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  • DOI: https://doi.org/10.1007/s11277-024-11046-x

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