Research Journal of Engineering and Technology

B. G. Premasudha ¹, Sreekanth P. Krishnan ², B. Suryanarayana Adiga ³

Affiliations
1 DR.MGR University Siddaganga Institute of Technology,Tumkur, IN
2 Infosis, Mysore, IN
3 TCS, Bangalore, IN

Abstract

Mobile Ad Hoc Network (MANET) is a self-organizing, rapidly deployable network of wireless nodes without infrastructure. Mobile nodes of a MANET also function as routers. Disconnection often occurs due to mobility and causes frequent network division. Disconnected partitions decrease data accessibility. In replica allocation, the data items will be copied or replicated and will be stored in more than one machines so that even if a machine cannot access the owner of a data, it can access the data from some other machines which have the replica. In this paper we have simulated a replica allocation algorithms using OMNeT++ and also used the time stamping property to avoid inconsistancies of data in the network.

Keywords

Ad Hoc Networks, Replica Allocation, Data Accessibility, Mobile Computing Environment, Time Stamping, OMNeT++.

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B. G. Premasudha ¹, Shivakumarswamy ², B. S. Adiga ³

Affiliations
1 Dr. MGR University, Chennai, IN
2 Mallige College of Pharmacy, Bangalore, IN
3 TCS, Bangalore, IN

Abstract

Disease data analysis and sharing is important for the collaborative preparation, response, and recovery stages of disease control. Disease phenomena are strongly associated with spatial factors. Web-based Geographical Information Systems (WGIS) provide a real-time and dynamic way to represent disease information on maps. WGIS provides excellent means for visualizing and analyzing epidemiological data, revealing trends, dependencies and interrelationships. GIS serves as a common platform for convergence of multi-disease surveillance activities. This paper focuses on presenting a WGIS application created for studying distribution of malaria patients in Tumkur city, India. The application covers two main epidemiological issues: (i) defining the spatial distribution of malaria patients; and (ii) modelling spatial variation of malaria in the city. This study is useful to find out patient distribution, patient data classifications and accessibility to hospital. The spatial data infrastructure can enhance the efficiency and effectiveness of public health surveillance for India in district levels.

Keywords

Web-GIS, Thematic Mapping, Surveillance, Epidemics.

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