cogcom 16(8): e2

Research Article

Towards Implantable Body Sensor Networks - Performance of MICS Band Radio Communication in Animal Tissue

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  • @ARTICLE{10.4108/eai.28-9-2015.2261413,
        author={Vignesh Raja Karuppiah Ramachandran and Kui Zhang and Nirvana Meratnia and Paul Havinga},
        title={Towards Implantable Body Sensor Networks - Performance of MICS Band Radio Communication in Animal Tissue},
        journal={EAI Endorsed Transactions on Cognitive Communications},
        volume={2},
        number={8},
        publisher={ACM},
        journal_a={COGCOM},
        year={2015},
        month={12},
        keywords={pathloss, animal tissue, channel model, mics band radio},
        doi={10.4108/eai.28-9-2015.2261413}
    }
    
  • Vignesh Raja Karuppiah Ramachandran
    Kui Zhang
    Nirvana Meratnia
    Paul Havinga
    Year: 2015
    Towards Implantable Body Sensor Networks - Performance of MICS Band Radio Communication in Animal Tissue
    COGCOM
    EAI
    DOI: 10.4108/eai.28-9-2015.2261413
Vignesh Raja Karuppiah Ramachandran,*, Kui Zhang1, Nirvana Meratnia1, Paul Havinga1
  • 1: University of Twente
*Contact email: v.r.karuppiahramachandran@utwente.nl

Abstract

Reliable wireless communication inside the human body is crucial for the design of implantable body sensor networks. The tissues in human body are heterogeneous and have different conductivity and permittivity, which make the modeling of the wireless channel challenging. The design of upper layers of the network stack requires the physical layer characteristics including the channel model. Currently, there is no unique channel model available for implant communication inside body. Various measurement campaigns of channel characteristics are underway. The channel model characteristics depends on the hardware components used such as antenna and matching circuit as well as the operating frequency, which are not taken into account by the existing channel models for implant communication. Moreover, hardware losses and different tissue characteristics have not been taken into account in the link budget of the existing channel models. The approach used in this paper pays special attention to the losses introduced by hardware components of the implant itself and the physical medium. This paper presents characteristics of radio channel using animal tissue. A comparison is made between these measured characteristics and the existing channel characteristics provided by the IEEE 802.15.6 standard. The empirical measurements are used to validate the simulations of the IEEE 802.15.6 model.