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DAI based wireless sensor network for multimedia applications

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Abstract

In Wireless Multimedia Sensor Network (WMSN), the time critical and delay sensitive applications like video, audio, image demands high bandwidth and transmission resources. The provision of Cognitive Radio (CR) can effectively utilize the available spectrum in the most appropriate way to provide high bandwidth in the Wireless Sensor Network (WSN) environment as Cognitive Radio sensor network (CRSN). The CR features are applicable in WMSN paradigm with required changes in transmission parameter for bandwidth hungry multimedia applications. In this paper, we propose an approach for setting up a cost-efficient and higher data rates communication in Wireless Multimedia Cognitive Radio Sensor Network (WMCRSN). The process analyses power allocation for sensor nodes by dynamic channel modelling and allocates power using multi-agent based Distributed Artificial Intelligence (DAI) in WMCRSN applications. The novelty in the approach lies in analyzing the real-time spectrum sensing outputs system for high data rate wireless multimedia applications. The DAI makes the process of power allocation in a smart way for having low latency based intra and inter cluster communication between sensor nodes. The performance parameters of the network, i.e. probability of detection and false alarm with the modelled error rates are presented. The mathematical analysis and simulation results justifies the feasibility and merits of the proposed method over conventional methods.

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Authors and Affiliations

  1. Department of Communication, School of Electronic and Information Engineering, Anhui University, Hefei, Anhui, People’s Republic of China

    Amrit Mukherjee & Lixia Yang

  2. School of Computer Science and Communication Engineering, Jiangsu University, Nanjing, Jiangsu, People’s Republic of China

    Pratik Goswami

Authors
  1. Amrit Mukherjee
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  2. Pratik Goswami
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  3. Lixia Yang
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Correspondence to Lixia Yang.

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Mukherjee, A., Goswami, P. & Yang, L. DAI based wireless sensor network for multimedia applications. Multimed Tools Appl 80, 16619–16633 (2021). https://doi.org/10.1007/s11042-020-08909-3

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  • DOI: https://doi.org/10.1007/s11042-020-08909-3

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