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

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Published: Nov 2, 2023
DOI: https://doi.org/10.17762/ijritcc.v11i10.8414
Keywords:
Wireless Sensor Network, Cloud Computing, Social Network, Energy Efficient Technique, Research, Virtual Sensor, Physical Sensor, Fog Computing

Main Article Content

Devangini Dave
Research Scholar, Parul University, Limda, Waghodia, Vadodara, Gujarat
Swapnil Parikh
Professor, Computer Science & Engineering Department, Parul Institute of Technology, Parul University, Limda, Waghodia, Vadodara, Gujarat
Pratik Patel
Assistant Professor, Computer Science & Engineering Department, Parul Institute of Engineering & Technology, Parul University, Limda, Waghodia, Vadodara, Gujarat

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.

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
Issue
Vol. 11 No. 10 (2023)
Section
Articles

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