Multi-Hop Data Delivery in Hybrid Self-Organized Networks for Mountain Rescue

Shih Xiu Huang, An Lung, Jia You Chen, Wu Min Sung, Yu Cheng Chu, Jiun Yu Tu, Chih Lin Hu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Considering the large-scaled field of mountain rescue, a hybrid self-organized network architecture is developed for multi-hop data delivery against weak network connectivity in challenged areas. UAVs and wireless nodes can self-organize unstructured multi-hop networks to distribute urgent and recuse messages in geographic proximity. To seek lost climbers efficiently, this architecture provides two search methods. (1) In a passive method, climbers send messages via MQTT protocols to neighbor nodes that will further forward messages to the cluster head of a self-organized network. (2) In an active method, UAVs hover over disjoint cluster heads to store, carry, and forward messages, and UAVs are equipped with cameras to perform face recognition of detecting target users. All the messages and camera-initiated video streaming can be passed through self-organized networks and then displayed on the rescue website.

Original languageEnglish
Title of host publicationGCCE 2023 - 2023 IEEE 12th Global Conference on Consumer Electronics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages117-118
Number of pages2
ISBN (Electronic)9798350340181
DOIs
StatePublished - 2023
Event12th IEEE Global Conference on Consumer Electronics, GCCE 2023 - Nara, Japan
Duration: 10 Oct 202313 Oct 2023

Publication series

NameGCCE 2023 - 2023 IEEE 12th Global Conference on Consumer Electronics

Conference

Conference12th IEEE Global Conference on Consumer Electronics, GCCE 2023
Country/TerritoryJapan
CityNara
Period10/10/2313/10/23

Keywords

  • Internet of Things
  • mountain rescue
  • multi-hop data delivery
  • Self-organized network
  • wireless and mobile network

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