International Journal of

Soft Computing and Software Engineering [JSCSE]

ISSN: 2251-7545

Prefix DOI : 10.7321/jscse

URL: http://JSCSE.com

A Peer-Reviewed Journal

The International Journal of

Soft Computing and Software Engineering [JSCSE]

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[Vol. 4, No.1, Jan] [Vol. 4, No.2, Feb] [Vol. 4, No.3, Mar] [Vol. 4, No.4, Apr] [Vol. 4, No.5, May] [Vol. 4, No.6, Jun] [Vol. 4, No.7, Jul] [Vol. 4, No.8, Aug] [Vol. 4, No.12, Dec]

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Table of Contents [Vol. 4, No.3, Mar]

Speed and Pause Time Impact on Position Based Routing Protocols Under Different Mobility Models

Adam Macintosh, Mohammad Ghavami, Ming Fei Siyau
Doi : 10.7321/jscse.v4.n3.1
Page : 33 - 55

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Abstract . Position based routing protocols use geographical position information to route data packets between mobile nodes (MNs), which make them popular in mobile ad hoc networks (MANETs). The issue of routing and maintaining packets between MNs in MANETs has always been a challenge due to the dynamic changes in the network layout. The aim of this paper is to investigate the fundamental factors speed, pause time and minimum node degree which have a major impact on the performance of position based routing protocols under different mobility models. A comparative study of major position based routing protocols and mobility models are presented here. Both Independent Entity and Dependent Group Mobility Models have been selected. The effect of speed and pause time on the performance of protocols under each of the chosen mobility models are analysed. Deriving an analytical theorem for the required transmission range in connected ad hoc networks. Meaningful metrics for assessing the performance of MANET protocols are identified and defined. OPNET simulator was used to design and build a unified simulation environment; to evaluate the performance of the different protocols proposed in the Internet Engineering Task Force (IETF), in different scenarios.
Keyword : Mobility models, Mobile Ad hoc network,OPNET

Estimating Acidity in Precipitation Using Sulphur Dioxide Satellite Imagery

Narasimha Prasad L. V., Naveen Dondapati, Prudhivi Kumar Reddy
Doi : 10.7321/jscse.v4.n3.2
Page : 56 - 67

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Abstract . Acid rain is a major regional scale environmental problem around the globe. To control acid rain pollution and to protect the ecological environment, it is a major need to identify the occurrence of acid rains. This paper presents a methodology for identifying the occurrence of acid rain using pH values calculated from normality by applying k-means clustering and haar wavelet transform on the satellite imagery of precipitation and SO2. If the computed pH value lies in the range of 1 ≤ pH ≤ 5, it is identified as acid rain. The results indicate that wind direction, wind speed, amount of rainfall, atmospheric pressure and concentration of SO2 show a considerable influence on the occurrence of acid rain.
Keyword : Acid rain ; Haar wavelet ; Image processing ; k-means clustering ; Normality ; Precipitation ; pH value