An Adaptive Throughput, Spectral, Energy Efficient and Fair Network Configuration in Pervasive Environment

Content Provider	Semantic Scholar
Author	Chakraborty, Debasish Purkayastha, Basab Bijoy Sarma, Kandarpa Kumar
Copyright Year	2012
Abstract	In this work, we propose a mechanism in which power consumption in a sensor network can be reduced greatly by taking into account the fairness factors and to increase the probability of nodes for successful packet transmission with lowest possible Signal to Noise Ratio (SNR) in a crowded environment. In other words we propose a high throughput and spectrally efficient network. The power consumption of the network reduces drastically when the clustered approach is adopted, which has been confirmed using the Friss transmission formula. Here, we have used analytical expressions from renewal reward theorem to deduce network throughput, probability of collisions and back-off periods upon collision in a random multiple access environment. Using those expressions we have made an analysis on network throughput, probability of collisions, bandwidth availability per node and estimation of back-off intervals upon collisions. The total number of nodes in the network is kept constant for observational purposes. The number of clusters has been varied to take observation of network throughput, probability of collisions, bandwidth availability per node and estimation of back-off intervals upon collisions. The analytical results obtained show that the power requirement of the network reduces drastically as the number of clusters increases.
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Language	English
Access Restriction	Open
Subject Keyword	Entity Name Part Qualifier - adopted Fairness measure Network packet Node - plant part Signal-to-noise ratio Throughput collision
Content Type	Text
Resource Type	Article