Performance of Data Caching in Cloud Sensing

Sensor cloud is an extension of traditional sensor networks that allows information sharing among users, improves response time to user requests, and reduces energy consumption of individual sensors to prolong their lifetime. In this paper we investigate the performance of data caching in a sensor cloud, assuming random selection of sensors to be read and a fixed duration of the time interval in which the sensor reading is valid. We show that significant improvements in performance, both with respect to response time and energy savings, can be achieved, depending on the percentage of sensors in each request, request arrival rate, and the number of concurrent servers issuing sensing requests.

[1]  Benyuan Liu,et al.  Capacity of Cache Enabled Content Distribution Wireless Ad Hoc Networks , 2014, 2014 IEEE 11th International Conference on Mobile Ad Hoc and Sensor Systems.

[2]  Antonio Puliafito,et al.  A utility paradigm for IoT: The sensing Cloud , 2015, Pervasive Mob. Comput..

[3]  Song Guo,et al.  Evolution of Software-Defined Sensor Networks , 2013, 2013 IEEE 9th International Conference on Mobile Ad-hoc and Sensor Networks.

[4]  Dong Liu,et al.  Cache-enabled heterogeneous cellular networks: Comparison and tradeoffs , 2016, 2016 IEEE International Conference on Communications (ICC).

[5]  Oliver W. W. Yang,et al.  Vehicular telematics over heterogeneous wireless networks: A survey , 2010, Comput. Commun..

[6]  Lei Shu,et al.  Cache-Aware Query Optimization in Multiapplication Sharing Wireless Sensor Networks , 2018, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[7]  Victor C. M. Leung,et al.  Sensor cloud computing for vehicular applications: from analysis to practical implementation , 2014, DIVANet '14.

[8]  Hongli Zhang,et al.  Mobile cloud sensing, big data, and 5G networks make an intelligent and smart world , 2015, IEEE Network.

[9]  Antonella Molinaro,et al.  Content-centric wireless networking: A survey , 2014, Comput. Networks.

[10]  Bin Xia,et al.  Analysis on Cache-Enabled Wireless Heterogeneous Networks , 2015, IEEE Transactions on Wireless Communications.

[11]  Guohong Cao,et al.  Supporting Cooperative Caching in Ad Hoc Networks , 2006, IEEE Trans. Mob. Comput..

[12]  Vojislav B. Misic,et al.  Performance Modeling and Analysis of Bluetooth Networks: Polling, Scheduling, and Traffic Control , 2005 .

[13]  Jelena Mii,et al.  Performance Modeling and Analysis of Bluetooth Networks: Polling, Scheduling, and Traffic Control , 2005 .

[14]  Sanjay Madria,et al.  Sensor Cloud: A Cloud of Virtual Sensors , 2014, IEEE Software.

[15]  Mohammad S. Obaidat,et al.  On Theoretical Modeling of Sensor Cloud: A Paradigm Shift From Wireless Sensor Network , 2017, IEEE Systems Journal.

[16]  Zhangbing Zhou,et al.  Periodic Query Optimization Leveraging Popularity-Based Caching in Wireless Sensor Networks for Industrial IoT Applications , 2015, Mob. Networks Appl..

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