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Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band

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Published on: May 2, 2018

Sensing coverage prediction for wireless sensor networks in shadowed and multipath environment.

Sushil Kumar¹, D K Lobiyal

¹School of Computer & Systems Sciences, Jawaharlal Nehru University, New Delhi 110067, India.

Thescientificworldjournal

|November 20, 2013

Summary

This study introduces a new sensing channel model to estimate the optimal number of wireless sensors for effective coverage in harsh environments, considering fading effects. The model ensures desired sensing coverage quality of service (QoS) in realistic conditions.

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Area of Science:

Wireless Sensor Networks
Network Coverage
Quality of Service (QoS)

Background:

The sensing coverage problem is critical for Quality of Service (QoS) in wireless sensor networks (WSNs).
Accurate estimation of sensor deployment is essential for effective monitoring in harsh environments.
Existing models may not fully capture the complexities of real-world wireless channels.

Purpose of the Study:

To develop a novel sensing channel model for estimating the a priori number of sensors required for desired coverage.
To address the sensing coverage problem in harsh WSN environments.
To provide a more realistic approach to sensor deployment planning.

Main Methods:

Proposed a new sensing channel model incorporating shadowing fading and multipath effects.
Derived a mathematical model for coverage probability based on received signal strength (RSS).
Validated coverage probability using Rayleigh fading, lognormal shadowing fading, and Poisson node deployment.

Main Results:

The proposed model accurately estimates the number of sensors needed for desired coverage in fading conditions.
Mathematical derivations for coverage probability were established.
Comparative analysis demonstrated the superiority of the proposed model over existing ones.

Conclusions:

The developed sensing channel model is highly suitable for realistic WSN environments.
It enables the determination of the optimum number of sensors for achieving desirable coverage under fading.
This research contributes to improved planning and deployment strategies for WSNs.