Packet forwarding mechanism for mobile robots bounded by random walk model

Rohit Mathur; Tarun Dubey

Research Article

Packet forwarding mechanism for mobile robots bounded by random walk model

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@ARTICLE{10.4108/eai.13-7-2018.163307,
    author={Rohit Mathur and Tarun Kumar Dubey},
    title={Packet forwarding mechanism for mobile robots bounded by random walk model},
    journal={EAI Endorsed Transactions on Internet of Things},
    volume={5},
    number={18},
    publisher={EAI},
    journal_a={IOT},
    year={2019},
    month={4},
    keywords={Zigbee, packet, mobile, wireless sensor network, disaster management, search and rescue},
    doi={10.4108/eai.13-7-2018.163307}
}

Rohit Mathur
Tarun Kumar Dubey
Year: 2019
Packet forwarding mechanism for mobile robots bounded by random walk model
IOT
EAI
DOI: 10.4108/eai.13-7-2018.163307

Rohit Mathur¹^,*, Tarun Kumar Dubey¹

1: Department of Electronics and Communication Engineering, Manipal University Jaipur, Jaipur, India

*Contact email: rohit.mathur@jaipur.manipal.edu

Abstract

With the evolution of technology search and rescue operations are now been executed with the help of mobile robots. Wired mobile robot deployment is very cumbersome and constrained. Thus, the need arises for appropriate wireless technology that may support the same or even better functionality. ZigBee is gaining popularity as supporting technology to facilitate the working of mobile robots for search and rescue operations. This is because ZigBee based nodes utilize the industrial, scientific, and medical frequency band that supports a data rate up to 250 kbps. This paper presents a packet forwarding mechanism for ZigBee based mobile wireless sensor network nodes. The results achieved through the reported work shows that the packet loss rate comes around to be 2 percent resulting in a 98 percent successful packet reception at the receiver end.

Keywords: Zigbee, packet, mobile, wireless sensor network, disaster management, search and rescue

Received: 2019-03-29
Accepted: 2019-04-20
Published: 2019-04-26
Publisher: EAI

: http://dx.doi.org/10.4108/eai.13-7-2018.163307

Copyright © 2019 Rohit Mathur et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.