By Natarajan Meghanathan (auth.), Salah S. Al-Majeed, Chih-Lin Hu, Dhinaharan Nagamalai (eds.)
This publication constitutes the refereed lawsuits of the 3rd foreign convention on instant, cellular Networks and functions, WiMoA 2011, and the 1st overseas convention on desktop technology, Engineering and purposes, ICCSEA 2011, held in Dubai, United Arab Emirates, in may perhaps 2011. The booklet is prepared as a set of papers from WiMoA 2011 and ICCSEA 2011. The eight revised complete papers awarded within the WiMoA 2011 half have been rigorously reviewed and chosen from sixty three submissions. The 20 revised complete papers awarded within the ICCSEA 2011 half have been conscientiously reviewed and chosen from a hundred and ten submissions.
Read or Download Advances in Wireless, Mobile Networks and Applications: International Conferences, WiMoA 2011 and ICCSEA 2011, Dubai, United Arab Emirates, May 25-27, 2011. Proceedings PDF
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Additional info for Advances in Wireless, Mobile Networks and Applications: International Conferences, WiMoA 2011 and ICCSEA 2011, Dubai, United Arab Emirates, May 25-27, 2011. Proceedings
E. low deployment factor and high K values) is expected to improve these metrics. 1 Studying the Effect of Random Deployment and White Noise Figure 2 shows the percentage of uncovered area (UA) for various values of deployment factor A using uniform node distribution. The figure shows that the uncovered length increases as the average deployment factor increases. More specifically, as the deployment factor increases, the distance between the adjacent sensor increases and thereby the percentage of uncovered area will also increase.
Coverage is represented as a function of sensor density, which in turn depends on sensing range and the deployment function. The sensing range and the deployment function have random nature that can greatly affect sensor coverage. In this study, we subjected a densely deployed sensor network to stochastic variations in sensing range and deployment. Also, we captured deployment variations in space dimension by a random deployment pattern and a random noise. In addition, we considered time dependent random variation in noise and environmental factors.
Thus, at any instance in time, we have a certain value of uncovered length between any two adjacent sensors. We are interested in the expected value of the percentage-uncovered area, considering these three effects. 2 System Modelling We will use the distance between any two adjacent sensors to model the uncovered area as a function of random deployment (Uniform and Poisson), sensing radius, noise and environmental effects. We relate the spacing distance A to the sensing range, which is related to a fixed sensing radius S.