Mobile Computing, Applications, and Services. 10th EAI International Conference, MobiCASE 2019, Hangzhou, China, June 14–15, 2019, Proceedings

Research Article

Quality-Aware Voice Convergecast in Mobile Low Power Wireless Networks

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  • @INPROCEEDINGS{10.1007/978-3-030-28468-8_16,
        author={Mike Adkins and Qi Han and Sudeep Pasricha},
        title={Quality-Aware Voice Convergecast in Mobile Low Power Wireless Networks},
        proceedings={Mobile Computing, Applications, and Services. 10th EAI International Conference, MobiCASE 2019, Hangzhou, China, June 14--15, 2019, Proceedings},
        proceedings_a={MOBICASE},
        year={2019},
        month={9},
        keywords={Voice streaming Low power mobile wireless networks Admission control},
        doi={10.1007/978-3-030-28468-8_16}
    }
    
  • Mike Adkins
    Qi Han
    Sudeep Pasricha
    Year: 2019
    Quality-Aware Voice Convergecast in Mobile Low Power Wireless Networks
    MOBICASE
    Springer
    DOI: 10.1007/978-3-030-28468-8_16
Mike Adkins1,*, Qi Han1,*, Sudeep Pasricha2,*
  • 1: Colorado School of Mines
  • 2: Colorado State University
*Contact email: michael.h.adkins@gmail.com, qhan@mines.edu, sudeep@colostate.edu

Abstract

Many disasters have shown the critical need for reliable voice communication for mobile users. Low power ad hoc wireless networks have become a promising solution in emergency scenarios because of their low cost and portability. In order to increase communication amongst moving emergency personnel and disaster victims, we have developed a novel convergecast voice streaming system that guarantees robust voice quality in a low power mobile wireless network. The system integrates routing and mobility-aware admission control along with voice compression adjustment to ensure the quality of voice streams. The system is evaluated using Arduino Due micro-controllers with XBee 802.15.4 radios. Our results show that our system can adequately adapt to changing network and routing conditions to deliver sufficient voice quality by maintaining a certain number of concurrent voice streams. To the best of our knowledge, this work is the first complete system for quality-aware voice streaming in mobile lower power wireless networks.