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Dynamic Emergency Navigation Based on Prediction via Wireless Sensor Networks

Published: 09 April 2021 Publication History

Abstract

Wireless sensor networks (WSNs) are distributed networking systems consisting of many self-organized sensor nodes deployed in monitoring areas of interest. Emergency navigation is an emerging application of WSNs, which aims to solve the problem that users choose the optimal path and reach the designated target safely based on the sensed information in dangerous environments. However, traditional distributed emergency navigation algorithm has relatively low dynamic adaptability and navigation efficiency. In this paper, a dynamic emergency navigation algorithm based on prediction via WSNs is proposed. First, we introduce a prediction model based on time series to predict the dynamic changes of the environment sensed by WSNs. Then, for each user requesting the navigation path, the potential field of each node is established by comprehensively considering its distance to the target and corresponding predictive danger value. Based on the dynamically updated potential field, the users exploit the gradient descent method to efficiently approach the target areas node by node. The simulation results demonstrate the superiority of the proposed algorithm in terms of the navigation efficiency and safety in dynamic environments.

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Cited By

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  • (2023)Empirical Evaluation of a LoRa Mesh Network for Emergency Communication Systems2023 IEEE 14th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)10.1109/UEMCON59035.2023.10316084(0637-0646)Online publication date: 12-Oct-2023
  • (2023)DC-HEN: A Deadline-aware and Congestion-relieved Hierarchical Emergency Navigation Algorithm for Ship Indoor Environments2023 IEEE International Conference on Mobility, Operations, Services and Technologies (MOST)10.1109/MOST57249.2023.00013(44-54)Online publication date: May-2023
  • (2023)Prediction in Smart Environments and Administration: Systematic Literature ReviewAdvanced Information Networking and Applications10.1007/978-3-031-28694-0_4(36-47)Online publication date: 15-Mar-2023

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cover image ACM Other conferences
ICIT '20: Proceedings of the 2020 8th International Conference on Information Technology: IoT and Smart City
December 2020
266 pages
ISBN:9781450388559
DOI:10.1145/3446999
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 April 2021

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Author Tags

  1. Wireless sensor networks
  2. dynamic emergency navigation
  3. potential field
  4. prediction model

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ICIT 2020
ICIT 2020: IoT and Smart City
December 25 - 27, 2020
Xi'an, China

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Cited By

View all
  • (2023)Empirical Evaluation of a LoRa Mesh Network for Emergency Communication Systems2023 IEEE 14th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)10.1109/UEMCON59035.2023.10316084(0637-0646)Online publication date: 12-Oct-2023
  • (2023)DC-HEN: A Deadline-aware and Congestion-relieved Hierarchical Emergency Navigation Algorithm for Ship Indoor Environments2023 IEEE International Conference on Mobility, Operations, Services and Technologies (MOST)10.1109/MOST57249.2023.00013(44-54)Online publication date: May-2023
  • (2023)Prediction in Smart Environments and Administration: Systematic Literature ReviewAdvanced Information Networking and Applications10.1007/978-3-031-28694-0_4(36-47)Online publication date: 15-Mar-2023

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