Nowadays the technological advancements have made the internet ubiquitous and linked a wide group of people to be through it, paving way for a network transferal, causing the applications to be shifted from its local servers to the cloud ecosystem. The shifting of the computer applications led to entailment of enormous network connectivity that caused difficulties in the operations of the network. The software defined networks emerged as capable solution for the managing the difficulties arising due to the paradigm shift, and enriched the network operators with high flexibility programming in accessing as well as controlling the multiple routing paths. However the security and the sustainability in the SDN is still an open issue. So the paper looks forward to design and develop a secure and a sustainable software defined networks. The proposed method is simulated with the NS2 to verify the enhanced quality of service provided in terms of security, throughput and the Packet drop rate.
The paper emphasis on an instinctual and efficacious method to forecast and analyze the condition of different atmospheric determinants all over the world. The difficulty in the extant remedies or the apparatus is its incapability to provide a comprehensive information regarding the evaluation of the attributes of the atmosphere. The proposed methodology in the paper gathers the actual information about the atmospheric attributes such as the water, air, the forest and the tree cover etc. from the government bases and processes the collective information. The methodology does the extrication transformation load over the original collective data’s that are in its raw format. The converted information sets are imported into the database to develop a dash boards with the multiple information’s displayed on it. This allows to have an evaluated data about the various atmospheric factors. To forecast the deteriorations and the conditions of the atmospheric attributes the methodology proffered utilizes the Fuzzy C means clustering, R-studio, and the ARIMA frame work. The dash board assists the NLP enabling the end users to post their queries as input and get back the desired output. The developed deterioration forecasting and evaluation can be used in the evaluation of the conditions of atmospheric attributes for the different countries in the world.
Continuous researches are done to improve technologies for developing effective, economical and productive solutions for preventing fatalities in the railway gates that are unmanned. Several solutions in this research field have been suggested but none of them are sufficiently effective to deploy them at the automated level crossings and fully eradicate human presence. Surveying the current methodologies and the pitfalls in them the paper has developed an efficient and cost effective remote monitoring for unmanned railway gates, enabling automated traffic control technologies and the wireless sensors. The paper scope in developing an automated traffic control in the unmanned railway gates in India.
Wireless sensor networks have quickly paved way to novel ways of communication between two nodes. They consist of sensor nodes that have the capacity to sense, communicate and compute. If a particular node in a WSN is not able to transmit data to the base station, routing algorithms will move into action to direct the data from the node. The proposed work deals with a routing algorithm based on trust awareness and compression sensing data, to handle data routing in a clustered WSN. In general, when sensor nodes have reduced overhead, compressed sensing is utilized for data aggregation. In order to strike a balance between number of messages transmitted, hop count, distance of transmission and the optimal trusted path, many nature inspired optimisation methods have been developed over the years. However, trust-based retrieval of compressed data is executed at the base station amidst malicious nodes.
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