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Energy conservation has remained as one of the most challenging issue in design of WSNs. Over the years many effective clustering and routing algorithms have been proposed for handling this challenge. In this paper we propose NSGA-2 based routing algorithm for WSN. The routing algorithm has been developed by optimizing two parameters namely transmission distance and total number of hops which are conflicting in nature. We made some changes in NSGA-2, thus ensuring a better convergence rate compared to traditional NSGA-2. Theoretical analysis and grievous simulation demonstrate the effectiveness of the proposed algorithm. The obtained results were compared with several popular algorithms to validate the superiority of the proposed algorithm in terms of numerous performance metrics. [ABSTRACT FROM AUTHOR]

Purpose: The aim of this research is to design a predictive model using data mining tools and techniques that could be employed in prediction if diabetes, with the intension of enhancing the capability and efficiency of decision making. Methods: The research was carried out on primary data that was collected from one of leading diagnostic centers in Srinagar (J&K). Data was preprocessed so as to remove inconsistencies'. Data mining techniques' Naïve Bayes and support vector machine, K-nn were used for decision making. Data mining is a strong novel innovation for the extraction of concealed clairvoyant and significant facts from vast databases that can be utilized to increase thoughtful and novel insights. Utilizing superior data mining techniques to exhume vital knowledge is considered as a dissident way to enhance the quality and exactness of health services in order to improve healthcare service while bringing down the services cost and time. Findings: The study demonstrated that model created using SVM outperformed Naïve Bayes and K-nn in predicting the disease. [ABSTRACT FROM AUTHOR]

As traffic and population is increasing, it's monitoring and automation is finding a scope for development and it is emerging as a lucrative field for research and development. Intelligent transportation systems (ITS) are advanced applications which aim to provide innovative services relating to different modes of transport and traffic management and enable various users to be better informed and make safer, more coordinated, and 'smarter' use of transport networks. Realizing its enormous potential in automation, this review work was built around ITS and its applications. As ITS majorly involves the Wireless Sensor Networks, it was also explored to some extent. Various architectures were explored and compared to deduce the strengths and weaknesses of proposed solution. [ABSTRACT FROM AUTHOR]

In recent years implementation of wireless sensor network has been widely done by many organizations and researcher are working on independent and autonomous wireless node in order to make it usable at different environment and location where maintenance is not feasible every time. Many wireless device work on configuration stored on storage of device. The main challenge with these wireless nodes is that, it requires a physical connection in order to change its configurations or the setting. It may possible that wireless nodes are moving and working on self-generated power supply hence it become very tedious to find those device for manual configuration. Thus it aimed at designing and implementation of secure reconfiguration protocol for wireless sensor network where device will be having a provision to connect device and get the new setting and overwrite with existing configuration in device. The wireless device will be having different mode like command and action mode. While configuration device will switched to secure configuration mode and get the details from base station and reconfigure its setting for future use. [ABSTRACT FROM AUTHOR]