10th EAI International Conference on Mobile Multimedia Communications

Research Article

Co-relative mobility based IoT data uploading using D2D communication

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  • @INPROCEEDINGS{10.4108/eai.13-7-2017.2270111,
        author={Sunny Sanyal and Dapeng Wu and Junjie Yan and Xing Li},
        title={Co-relative mobility based IoT data uploading using D2D communication},
        proceedings={10th EAI International Conference on Mobile Multimedia Communications},
        publisher={EAI},
        proceedings_a={MOBIMEDIA},
        year={2017},
        month={12},
        keywords={co-relative mobility; device to device communication; multihop; iot; data uploading; cluster formation; accelerometer},
        doi={10.4108/eai.13-7-2017.2270111}
    }
    
  • Sunny Sanyal
    Dapeng Wu
    Junjie Yan
    Xing Li
    Year: 2017
    Co-relative mobility based IoT data uploading using D2D communication
    MOBIMEDIA
    EAI
    DOI: 10.4108/eai.13-7-2017.2270111
Sunny Sanyal1,*, Dapeng Wu2, Junjie Yan3, Xing Li1
  • 1: student
  • 2: Professor
  • 3: Phd student
*Contact email: sanyal.sunny111@yahoo.com

Abstract

Fifth generation (5G) systems are imminent and with the increasing data rates, there is consensus among global industries and academia to devise a digital world which is 24X7 connected. To make this happen we need to rely on our smart devices, cloud-based services and D2D communication as the potential candidates, however, since we are focusing on the wireless domain here energy remains a key constraint in the development. We propose a framework, whose application can be extended to IEEE 802.15.4 protocol, i.e. low power devices (IoT devices). Our idea is to amalgamate the wireless model with a limited power budget with mobility based energy efficient clustering of IoT devices using D2D communication. The literature of IoT data collection using D2D communication lacks a unified approach that is applicable for both static and dynamic IoT devices. Our simulation results depicts that our heuristically developed scheme will successfully reduce the usage of power and system resources.