Towards Implantable Body Sensor Networks - Performance of MICS Band Radio Communication in Animal Tissue
Journal Title: EAI Endorsed Transactions on Cognitive Communications - Year 2016, Vol 2, Issue 8
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.
Authors and Affiliations
Vignesh Raja Karuppiah Ramachandran, Kui Zhang, Nirvana Meratnia, Paul Havinga
Keywords
Related Articles
- EP ID EP45649
- DOI http://dx.doi.org/10.4108/eai.28-9-2015.2261413
- Views 248
- Downloads 0
3GPP Spectrum Access Evolution Towards 5G
The ever-increasing needs for more spectrum resources, and the emerging new Radio Access Technologies under the 5G umbrella add to the complexity of the Spectrum Toolbox in mobile networks landscape. This article covers...
Miniaturized Implantable DS-PIFA Antenna for Biomedical Applications
This paper presents an implantable miniaturized planar inverted-F antenna (PIFA) for biomedical applications. We propose small sized PIFA that can operate over 2.45 GHz Industrial, Scientific, and Medical (ISM) band. We...
A Spectrum Allocation Mechanism Based on HJ-DQPSO for Cognitive Radio Networks
In cognitive radio network model consisting of secondary users and primary users, in order to solve the difficult multi-objective spectrum allocation issue about maximizing network efficiency and users’ fairness to acces...
Modeling of Time and Frequency Random Access Network and Throughput Capacity Analysis
In this paper, we model the random multi-user multi-channel access network by using the occupancy problem from probability theory, and we combine this with a network interference model in order to derive the achievable t...
The Influence of Noise Uncertainty and SNR Wall on the Performance of Hybrid Sensing Method
The paper discusses the hybrid sensing method and presents the hybrid detector (HD) which improves the sensing performance. The proposed HD takes advantage of the energy detection (ED) and a method based on the Covarianc...