Distributed GA (Genetic Algorithm) Implementation with ABSN Framework for Analysis and Disease Prediction
Meenakshi Sharma1, Suminder Kumar2
1Meenakshi Sharma, Department of Computer Science and Engineering, Punjab Technical University, Sri Sai College of Engineering and Technology Badhani Pathankot (Punjab), India.
2Suminder Kumar, Department of Computer Science and Engineering, Punjab Technical University, Sri Sai College of Engineering and Technology Badhani Pathankot (Punjab), India.
Manuscript received on 10 July 2016 | Revised Manuscript received on 21 July 2016 | Manuscript Published on 30 July 2016 | PP: 9-12 | Volume-6 Issue-2, July 2016 | Retrieval Number: B2331076216/16©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Wireless sensor network (WSN) is the huge area of research in association with the medical field for delivering various kinds of medical application which uses WSN as major part of the application but the goings on researches are still suffering from efficient and the flexible data management techniques. This area of research is still having lack of effective, flexible, scalable and secure information management. In the medical vast amount of sensitive data is generated which needs secure and authorize access but all the existing framework cannot completely resolves this problem. Although they did very important contribution in this area of research and try to provide very promising solution but still require huge enhancement to provide effective service. The major shortcomings of existing solution are security, scalability and lack of resources which leads to less availability of resources. Wireless sensor network is used to monitor to patient health status and transmit real time monitoring report on the storage server which is used by healthcare professional to provide better and fast response so it needs fast and secure transmission and retrieval of the information. In the medical field providing response on different emergency situation is also very important concern so an effective emergency management scheme is required for handling various kinds of emergency situations. In this paper we are providing a framework which provides effective data management as well provide functionality of disease prediction and cure suggestion in the absence of expertise with the help of hadoop implementation of genetic algorithm for the data classification. In this paper we also use DABE (Distributed Attribute based encryption) for flexible and fine grained access control for fast and secure data retrieval.
Keywords: WSN, Hadoop, Healthcare, Cloud Computing, Data Management, Access Control, Genetic Algorithm.
Scope of the Article: Regression and Prediction