Performance evaluation

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This document presents a theoretical method for analyzing the performance of wireless body sensors in terms of channel capacity and bit error rate when experiencing slow and fast fading effects. Analytical expressions are developed for channel capacity and BER for different propagation scenarios, including implant-to-implant, implant-to-body surface, and body-surface-to-body-surface. Numerical results using realistic channel models indicate high outage probability and degraded capacity due to complex propagation on body surfaces and inside the body. Communication links must be optimized with fade mitigation techniques to achieve high quality-of-service requirements for biomedical systems. The results provide insight into how the propagation channel affects performance and allow evaluating technical feasibility for different scenarios.

Performance Evaluation of Wireless Body Sensors in the Presence of
Slow and Fast Fading Effects:
Abstract:
A theoretical method for analyzing the performance of wireless body sensors in terms of channel
capacity and bit error- rate (BER) in the presence of slow and fast fading effects is presented.
Analytical closed-form expressions for the channel capacity and BER for implant-to-implant,
implant-to-body surface and body-surface-to-body-surface propagation scenarios are developed.
Numerical results of the channel capacities and the BERs are presented utilizing realistic channel
models for wireless body area networks (WBANs). The results indicated high system Outage
probability and degraded channel capacity caused by the complex propagation mechanisms of
radio frequency signals on the surface and inside the human body. The communication links of
WBANs should thus be optimized using fade mitigation techniques suitable for miniature
wireless electronic devices to achieve the targeted high quality-of-service (QoS) requirements of
biomedical systems. Generally, the results give an insight into the effect of the propagation
channel on system performance, and may allow service providers to evaluate the technical
feasibility of biomedical systems for various propagation scenarios.
Existing system:
The aging population in many developed countries and the rising costs of health care have
triggered the introduction of novel technology-driven enhancements to current health care
practices. These sensors need to send their data to an external medical server where it can be
analyzed and stored. For correspondence among wearable nodes (on-body communication), the
sign is inclined to experience the ill effects of multipath fading and shadowing. Different
proliferation estimation results have demonstrated that the on-body remote channel is liable to
fading brought about by the development of the human body. Notwithstanding the shadowing of
the sign by moving body parts, signal reflection/dissipating from items around the human body
bring about multipath fading impacts. Besides, the precise varieties of the reception apparatus
increase amid movement offer ascent to time-differing channel conditions. The previously stated
engendering debilitations are additionally present in body-to-body communication situations.
Disadvantages of existing system:
1. Channel capacity & outage probability is complex.
2. Minimum throughput.

Proposed system:
In this work, we proposed a novel Performance Evaluation of Wireless Body Sensors in the
Presence of Slow and Fast Fading Effects. Systematic closed-form terms for the channel capacity
& Bit Error Rate (BER) for implant-to implant, implant-to-body-surface & body surface-to-body
surface propagation scenarios are developed. Numerical results of the channel capabilities and
the BERs are introduced to exploit sensible channel models for wireless body area networks. The
results could be used to optimize the communication link by different fade improvement
techniques (such as adaptive coding, modulation, adaptive power control, link diversity, etc.)
appropriate for small wireless electronic devices. This may enable to achieve the targeted high
QoS requirements of biomedical systems.
Advantages of proposed system:
1. Channel capacity & outage probability is reduced.
2. Throughput is increased.

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