Survey of Energy-Efficient Techniques for the Cloud-Integrated Sensor Network

The sensor cloud is a combination of cloud computing with a wireless sensor network (WSN) which provides an easy to scale and efficient computing infrastructure for real-time application. A sensor cloud should be energy efficient as the life of the battery in the sensor is limited and there is a huge consumption of energy in the data centre in running the servers to provide storage. In this paper, we have classified energy-efficient techniques for sensor cloud into different categories and analyzed each technology by using various parameters. Usage percentage of each parameter for every technology is calculated and for all technologies on average is also calculated. From our analysis, we found that most of the energy-efficient techniques ignore quality of service (QoS) parameters, scalability, and network lifetime. Multiparameter optimization including other QoS parameters along with energy may be the future direction of research. Our study will be helpful for researchers to get information regarding current methods used for an energy-efficient sensor cloud and also to build advanced systems in the future.

[1]  Chi Harold Liu,et al.  Energy-Efficient Location and Activity-Aware On-Demand Mobile Distributed Sensing Platform for Sensing as a Service in IoT Clouds , 2015, IEEE Transactions on Computational Social Systems.

[2]  Sivaramakrishnan Sivakumar,et al.  Dense Clustered Multi-Channel Wireless Sensor Cloud , 2015, J. Sens. Actuator Networks.

[3]  Enzo Mingozzi,et al.  Energy-Efficient QoS-aware Service Allocation for the Cloud of Things , 2014, 2014 IEEE 6th International Conference on Cloud Computing Technology and Science.

[4]  Archan Misra,et al.  The case for cloud-enabled mobile sensing services , 2012, MCC '12.

[5]  Philip Morrow,et al.  Design Considerations for a Self-Managed Wireless Sensor Cloud for Emergency Response Scenario , 2011 .

[6]  Jiye Shi,et al.  Mobile computing - A green computing resource , 2013, 2013 IEEE Wireless Communications and Networking Conference (WCNC).

[7]  Lei Shi,et al.  Energy-aware collaborative sensing for multiple applications in mobile cloud computing , 2015, Sustain. Comput. Informatics Syst..

[8]  Qiang Wang,et al.  Energy efficient GPS sensing with cloud offloading , 2012, SenSys '12.

[9]  Lea Skorin-Kapov,et al.  Energy efficient and quality-driven continuous sensor management for mobile IoT applications , 2014, 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing.

[10]  Kaibin Huang,et al.  Energy Efficient Mobile Cloud Computing Powered by Wireless Energy Transfer , 2015, IEEE Journal on Selected Areas in Communications.

[11]  M. R. Sumalatha,et al.  SCA - An energy efficient transmission in sensor cloud , 2014, 2014 International Conference on Recent Trends in Information Technology.

[12]  Xiao Ma,et al.  A Survey of Energy Efficient Wireless Transmission and Modeling in Mobile Cloud Computing , 2012, Mobile Networks and Applications.

[13]  Younghan Kim,et al.  An Efficient Interactive Model for On-Demand Sensing-As-A-Servicesof Sensor-Cloud , 2016, Sensors.

[14]  Nei Kato,et al.  An Energy-Efficient and Delay-Aware Wireless Computing System for Industrial Wireless Sensor Networks , 2015, IEEE Access.

[15]  Victor C. M. Leung,et al.  Energy Efficient Cooperative Computing in Mobile Wireless Sensor Networks , 2018, IEEE Transactions on Cloud Computing.

[16]  M. Shamim Hossain,et al.  A Survey on Sensor-Cloud: Architecture, Applications, and Approaches , 2013, Int. J. Distributed Sens. Networks.

[17]  Jian Tang,et al.  Sensing as a service: A cloud computing system for mobile phone sensing , 2012, 2012 IEEE Sensors.

[18]  Richard T. Watson,et al.  C-SenZ-IS: A Customizable Sensor IS Model for Energy Efficient SaaS , 2015, 2015 48th Hawaii International Conference on System Sciences.

[19]  Mark A. Gregory,et al.  Integrating Wireless Sensor Networks with Cloud Computing , 2011, 2011 Seventh International Conference on Mobile Ad-hoc and Sensor Networks.

[20]  Rajeev Piyare,et al.  Towards Internet of Things (IOTS): Integration of Wireless Sensor Network to Cloud Services for Data Collection and Sharing , 2013, ArXiv.

[21]  Yuxing Peng,et al.  An Integration Framework of Cloud Computing with Wireless Sensor Networks , 2013 .

[22]  Abdelsalam Helal,et al.  Optimizing push/pull envelopes for energy-efficient cloud-sensor systems , 2011, MSWiM '11.

[23]  Lakshmish Ramaswamy,et al.  Data Quality and Energy Management Tradeoffs in Sensor Service Clouds , 2015, 2015 IEEE International Congress on Big Data.

[24]  Madoka Yuriyama,et al.  Sensor-Cloud Infrastructure - Physical Sensor Management with Virtualized Sensors on Cloud Computing , 2010, 2010 13th International Conference on Network-Based Information Systems.

[25]  Samer Samarah,et al.  A Data Predication Model for Integrating Wireless Sensor Networks and Cloud Computing , 2015, ANT/SEIT.

[26]  Sudip Misra,et al.  Energy-efficient data transmission in sensor-cloud , 2015, 2015 Applications and Innovations in Mobile Computing (AIMoC).

[27]  Guangwei Bai,et al.  C2EM: cloud-assisted complex event monitoring in wireless multimedia sensor networks , 2015, EURASIP Journal on Wireless Communications and Networking.

[28]  李栋,et al.  A Task Execution Framework for Cloud-Assisted Sensor Networks , 2014 .

[29]  Haiyun Luo,et al.  Energy-Optimal Mobile Cloud Computing under Stochastic Wireless Channel , 2013, IEEE Transactions on Wireless Communications.

[30]  Lu Zhao,et al.  C2EM: cloud-assisted complex event monitoring in wireless multimedia sensor networks , 2015, EURASIP J. Wirel. Commun. Netw..

[31]  Jing He,et al.  Energy‐efficient big data storage and retrieval for wireless sensor networks with nonuniform node distribution , 2015, Concurr. Comput. Pract. Exp..

[32]  Archan Misra,et al.  Cloud-based query evaluation for energy-efficient mobile sensing , 2017, Pervasive Mob. Comput..

[33]  Shailaja C. Patil,et al.  Energy efficient load balancing algorithm in cloud based wireless sensor network , 2015, 2015 International Conference on Information Processing (ICIP).

[34]  Junichi Suzuki,et al.  Toward Sensor-Cloud Integration as a Service: Optimizing Three-tier Communication in Cloud-integrated Sensor Networks , 2013, BODYNETS.

[35]  Narendra Singh Raghuwanshi,et al.  Dynamic Duty Scheduling for Green Sensor-Cloud Applications , 2014, 2014 IEEE 6th International Conference on Cloud Computing Technology and Science.

[36]  Victor C. M. Leung,et al.  Energy Efficiency as an Orchestration Service for Mobile Internet of Things , 2015, 2015 IEEE 7th International Conference on Cloud Computing Technology and Science (CloudCom).

[37]  Xiao Ma,et al.  Energy Efficiency on Location Based Applications in Mobile Cloud Computing: A Survey , 2012, ANT/MobiWIS.

[38]  Peng Zhang,et al.  A Novel Architecture Based on Cloud Computing for Wireless Sensor Network , 2013 .

[39]  Sanjay Kumar Madria,et al.  Energy Efficient Scheduling of Fine-Granularity Tasks in a Sensor Cloud , 2015, DASFAA.

[40]  Matti Siekkinen,et al.  Design of energy-efficient location-based cloud services using cheap sensors , 2013, Int. J. Pervasive Comput. Commun..