Shovan Maity

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This paper presents a forecasting model designed using WSNs(Wireless Sensor Networks) to predict flood in rivers using simple and fast calculations to provide real-time results and save the lives of people who may be affected by the flood. Our prediction model uses multiple variable robust linear regression which is easy to understand and simple and cost(More)
— This paper introduces an optimal deployment algorithm of sensors in a given region to provide desired coverage and connectivity for a wireless sensor network. Our paper utilizes two separate procedures for covering different regions of a symmetrical rectangular area. The proposed method divides the given area of interest into two distinct sub-regions(More)
Wireless sensor networks are highly susceptible to security attacks due to its open and infrastructure less configuration, autonomous operation, limited battery power and computational capability. As a result, secure routing of information by the sensor nodes has become an increasingly important topic of research interest in the recent years. In this paper,(More)
Wireless Sensor Network (WSN) consists of autonomous sensors distributed to monitor different environmental or physical phenomena and communicate the gathered data efficiently. Ensuring coverage and connectivity with minimum redundancy is important for WSNs. To ensure coverage and connectivity we assume that the sensors are deployed randomly within the(More)
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