# Improved Fair-Zone technique using Mobility Prediction in WSN

Source: [Improved Fair-Zone technique using Mobility Prediction in WSN](<https://www.sota2.com/research/paper/68fa608d1e209131ce9f0137>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-25T19:42:41.418Z

Authors: K.Ramesh, Dr. K.Somasundaram

Published: 2012-05-08T12:18:33.000Z

## Abstract

The self-organizational ability of ad-hoc Wireless Sensor Networks (WSNs) has led them to be the most popular choice in ubiquitous computing. Clustering sensor nodes organizing them hierarchically have proven to be an effective method to provide better data aggregation and scalability for the sensor network while conserving limited energy. It has some limitation in energy and mobility of nodes. In this paper we propose a mobility prediction technique which tries overcoming above mentioned problems and improves the life time of the network. The technique used here is Exponential Moving Average for online updates of nodal contact probability in cluster based network.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/1205.1668>)

[PDF](<https://arxiv.org/pdf/1205.1668.pdf>)
