Abstract
In recent years, the sensor cloud infrastructure dawns a huge advancement in many real time applications. The major drawback of Wireless Sensor Network (WSN) is its limited processing capability, bandwidth scarcity, insufficient memory, etc. In reality, the sensors (EEG, ECG, and so on) continuously sense the highly sensitive data, and send to the medical server leading to numerous challenges. The integration of cloud computing and WSNs with internet enables to cover and provide a service to the entire world, and also to overcome the deficiency of the WSNs. This chapter gives a prelude on the integration of cloud computing with WSNs and discusses the functional architectures, design issues, benefits and the applications of the sensor cloud infrastructure. In addition, we also developed a general architectural model for precision agriculture application and farmers awareness using sensor cloud.
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Bhanumathi, V., Kalaivanan, K. (2019). Application Specific Sensor-Cloud: Architectural Model. In: Mishra, B., Dehuri, S., Panigrahi, B., Nayak, A., Mishra, B., Das, H. (eds) Computational Intelligence in Sensor Networks. Studies in Computational Intelligence, vol 776. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-57277-1_12
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