Grouping of forest fire images into meaningful categories to reveal useful information is a challenging task. In order to overcome this challenge, data mining techniques can be used with wireless sensor network which can detect and forecast forest fire more promptly than the satellite-based detection approach. This paper proposes an efficient image clustering algorithm using real time data for predicting of the occurrence of forest fire, with a new mechanism for secure information transmission in wireless sensor networks by minimizing the threat attacks caused by malicious nodes in wireless sensor networks.
Wireless Sensor Networks have become major integral components of various other technologies like- IoT, Big Data, Cloud Computing and many. This impact is also making WSNs to grow more rapidly and its global market size is predicted to grow $944.92 million by 2020, at a CAGR of 12.96%. In-spite of this impact some challenges and application requirements in WSNs is there limiting its performance. In this article a detailed analysis and research has been carried out to address and resolve some of the major issues in the WSNs. This paper mainly aims in identifying and analyzing the major challenges and requirements along with some existing works in WSNs. Based on the identified problems this article presents the solution to increase the performance of WSNs. The main focus is given to energy and security aspects in the WSNs. The proposed protocol provides more strengthening security parameters with a focus on increasing the lifetime of the network in the resource constraint devices. The outcome of this paper is resulted in better results than the existing security and energy mechanism in the field of the wireless sensor networks
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