Power Reduction Sleep Scheduling Technique for Cloud Integrated Green Social Sensor Network
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Abstract
The wireless sensor network is the maximum appropriate technology nowadays with such awesome applications and areas including Infrastructure tracking, environment tracking, health care tracking, etc. Cloud Computing has fantastic data collecting skills and effective data processing ability. Social Network is a group of People or organizations of human beings with similar intentions. Social Sensor Cloud is one type of expertise-sharing mechanism wherein similar types of human beings can connect. Energy Consumption is nowadays the largest challenge as far as the concern with green environment. Because the battery life of the sensor is so limited, the Social Sensor Cloud must be energy efficient. As a result, this article will concentrate on Energy-Efficient Techniques for the Social Sensor Cloud. According to our findings, findings, the majority of energy-saving measures will cope with not unusual place Parameters including Network Lifetime, Network Work rate, Throughput, Energy, Bandwidth, etc. We will Summarize current Technology and we Will Provide Our Architecture for Energy Reduction in Social Sensor Cloud.
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References
Umer, T., Rehmani M., Ahmed E. and Mihaylova L, “Information and resource management systems for Internet of Things: Energy management, communication protocols and future applications”, Future Generation Computer Systems, ELSEVIER, 2019.
Dwivedi R., Saran M. and Kumar, R.,” A Survey on Security over Sensor-Cloud”, IEEE, 2019.
Malik, B., Ali, M., Yousaf, S. and Mehmood M,” Efficient Energy Utilization in Cloud Fog Environment”, IJACsa, 2019.
Saravana Kumar, J., “Green Smart World (Internet of things)”, International Journal of Engineering Science Invention (IJESI), 2019.
Mohamad Noor, M. and Hassan, W., “Current research on Internet of Things (IoT) security: A survey”, ELSEVIER 2019.
Singh, R., Singh, S., Kumar, R, “Integration of Wireless Sensor Networks with Cloud: A Review”, IEEE 2019.
Abed, S., Shayeji, M., and Ebrahim, F., “Secure and Energy-Efficient Platform for theIntegration of Wireless Sensor Networks andMobile Cloud Computing”, ELSEVIER, 2019.
Arroyo, P., Herrero, J., Suárez, J., and Lozano, J.,” Wireless Sensor Network Combined with Cloud Computing for Air Quality Monitoring”,Sensors,2019.
Hang, L., Jin, W., Yoon, H., Hong, Y., and Kim, D., ” Design and Implementation of a Sensor-CloudPlatform for Physical Sensor Management onCoT Environments”, Electronics, 2019.
Abed1, S., Al-Shayeji1, M., and Ebrahim, F., “Secure and Energy-Efficient Platform for theIntegration of Wireless Sensor Networks andMobile Cloud Computing”, ELSEVIER, 2019.
Santhana, V., and Shanmugam, D., “Integrating Wireless Sensor Networka with Cloud Computing and Emerging IT Platforms Using Middleware Services” ,IRJET, 2018.
THANH DINH, N., and KIM, Y., ” An Energy Efficient Integration Modelfor Sensor Cloud Systems”, IEEE, 2018.
Das, K., Das, S., Darji, R., and Mishra, A., “Survey of Energy-Efficient Techniques for the Cloud-Integrated Sensor Network”, Journal of Sensors, 2018.
Zhu, C., Leung, V., Rodrigues, J., Wang, L., and Zhou, H., “Social Sensor Cloud: Framework, Greenness, Issues, and Outlook”, IEEE 2018.
Hasan, W., Agbinya, j., Ran, Y., and Gui Yun Tian, G., “A Survey of Energy Efficient IoT Network in Cloud Environment”, International Conference on Cyber Security & Communication Systems, ICCSCS 2018.
Madria, S., “Sensor Cloud: Sensing-as-a-Service Paradigm”, IEEE International Conference on Mobile Data Management, 2018.
Srivastava, R., and Hasan, M., “Comparative Study on Integration of wireless sensor network with cloud computing”, International Journal of Advanced Research in Computer Science, IJARCS, 2018.
Park, D., “Future computing With IoT and cloud computing”, the Journal of Supercomputing, 2018.
Tsvetanov, F., and Pandurski, M., “Some Aspects for the Integration of Sensor Networks in Cloud Structures”, European Union, 2018.
Dwivedi, R., and Kumar, R., “Sensor Cloud: Integrating Wireless Sensor Networks with Cloud Computing”, IEEE , 2018.
AbdElnapi, N., Omran, N., Ali, A., and Omara, F., “A Survey of Internet of Things Technologies and Projects for Healthcare services”,IEEE 2018.
Jindal, F., Jamar, R., and Churi, P., “Future and Challenges of IoT”,International Journal of Computer Science & Information Technology(IJCSIT), 2018.
Cha, H., Yang, H., and n Song, Y., ” A Study on the Design of Fog Computing Architecture Using Sensor Networks”, Sensors, 2018.