Abstract
Delicate registering procedures are tolerant of imprecision, expected on guess, concentrates on vulnerability and in light of incomplete truth. Current real issue relating to congested activity in smart city is inescapably uncertain and in this manner plan of brilliant movement control framework is a challenging issue. Because of expanding rate of vehicles at movement focuses in keen urban communities, it makes startling deferrals amid travel, chance of mishaps are increasing, superfluous fuel utilization is an issue and unhygienic condition because of contamination additionally debases the wellbeing state of general individuals in an ordinary city situation. To stay away from such issues many keen urban communities are right now actualizing enhanced activity control frameworks that work on the guideline of movement robotization with avoidance of the above indicated issues. The fundamental test lies in utilization of ongoing examination performed with on-line movement data and effectively applying it to some activity stream. In this exploratory article, an upgraded activity administration framework called SCICS (Soft Computing based Intelligent Communication System) has been proposed utilizing swarm knowledge as a delicate registering procedure with astute correspondence between smart vehicles and movement of tower focuses. It utilizes an enhanced course redirection system with executed rationale in nano robots. Under a Vehicular Ad-hoc Network (VANET) situation, the correspondence between wise sensors happen through nano robots cooperatively. Reenactment results done utilizing Ns2 test system indicates empowering results in terms of better execution to control issue.
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Rath, M., Pattanayak, B.K. (2018). SCICS: A Soft Computing Based Intelligent Communication System in VANET. In: Venkataramani, G., Sankaranarayanan, K., Mukherjee, S., Arputharaj, K., Sankara Narayanan, S. (eds) Smart Secure Systems – IoT and Analytics Perspective. ICIIT 2017. Communications in Computer and Information Science, vol 808. Springer, Singapore. https://doi.org/10.1007/978-981-10-7635-0_19
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DOI: https://doi.org/10.1007/978-981-10-7635-0_19
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