Power Reduction Sleep Scheduling Technique for Cloud Integrated Green Social Sensor Network

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Devangini Dave
Swapnil Parikh
Pratik Patel


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.

Article Details

How to Cite
Dave, D. ., Parikh, S. ., & Patel, P. . (2023). Power Reduction Sleep Scheduling Technique for Cloud Integrated Green Social Sensor Network. International Journal on Recent and Innovation Trends in Computing and Communication, 11(10), 01–07. https://doi.org/10.17762/ijritcc.v11i10.8414


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