Autors: Ahmed, S. A., Popov, V. L., Topalov, A. V., Shakev, N. G.
Title: Environmental monitoring using a robotized wireless sensor network
Keywords: Mobile robots, Wireless sensor networks, Intelligent control

Abstract: Discovering and monitoring of polluted areas using autonomous mobile robots is nowadays a frequently considered solution concerning both environmental and human safety problems. Being part of a distributed control system, such robots can help to improve the efficiency of the existing conventional pollution prevention systems. On the other hand, during the last decade, wireless sensor networks (WSN) have provoked the interest of specialists from different areas by imposing a large number of theoretical and practical challenges related to their implementation. This paper attempts to deal with both issues by presenting a possible way for building robotized WSNs that can be suitable for solving different environmental monitoring tasks. The goal is to transform the WSN into an adaptive sensor system with intelligent behavior that can be used to discover and track spots or areas where given monitored environmental parameters violate defined thresholds.

References

    Issue

    AI & Society, Springer Journal, vol. 33, issue 2, pp. 207-214, 2018, Germany, Springer, https://doi.org/10.1007/s00146-018-0815-y

    Copyright Springer

    Цитирания (Citation/s):
    1. Rameshkumar, S., Ganesan, R., Merline, A. Progressive Transfer Learning-based Deep Q Network for DDOS Defence in WSN (2023) Computer Systems Science and Engineering, 44 (3), pp. 2379-2394. DOI: 10.32604/csse.2023.027910 - 2023 - в издания, индексирани в Scopus или Web of Science
    2. Dai, W. Intelligent Environment Platform for Industrial Clusters Based on Cloud Computing Technology (2021) Mobile Information Systems, 2021, art. no. 2858357. DOI: 10.1155/2021/2858357 - 2021 - в издания, индексирани в Scopus или Web of Science
    3. Ramesh, S., Yaashuwanth, C., Prathibanandhi, K., Basha, A.R., Jayasankar, T. An optimized deep neural network based DoS attack detection in wireless video sensor network (2021) Journal of Ambient Intelligence and Humanized Computing. DOI: 10.1007/s12652-020-02763-9 - 2021 - в издания, индексирани в Scopus или Web of Science

    Вид: статия в списание, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus