Collaboration of Heterogeneous Unmanned Vehicles for Smart Cities

Peng Li, Xing Wu, Wenfeng Shen, Weiqin Tong, Song Guo

Research output: Journal article publicationJournal articleAcademic researchpeer-review

7 Citations (Scopus)

Abstract

Urban environment monitoring is critical for smart cities, but it is challenging because of the complex city environment. Unfortunately, traditional approaches, for example, wireless sensor networks and satellite-based monitoring, have many constraints in practice. In this article, we propose to use heterogeneous unmanned vehicles to monitor an urban environment and study their collaboration in computing workload sharing. Given a number of tasks and vehicles, an efficient algorithm has been proposed to maximize the total weight of completed tasks. Simulation results show that our proposed algorithm significantly outperforms two other heuristic algorithms.

Original languageEnglish
Article number8782888
Pages (from-to)133-137
Number of pages5
JournalIEEE Network
Volume33
Issue number4
DOIs
Publication statusPublished - 1 Jul 2019

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Hardware and Architecture
  • Computer Networks and Communications

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