A novel scheme for energy-efficient bridge layer in sensor-cloud

Nasr Musaed Saleh Almurisi, Srinivasulu Tadisetty


Recently, Sensor-Cloud has been widely utilized in various domain, providing real-time monitoring and remote observations. The sensory data is collected from different heterogonous WSNs, uploaded to the cloud, virtualized, and served for many user applications. However, the survivability of the physical sensors is a challenge, where the nodes are battery-powered and must be wisely utilized. The need is to extend their lifetime and, thus, ensuring cloud functionality and user satisfaction. In this paper, we address the energy-efficiency of the physical sensors in the Sensor-Cloud paradigm. We propose a new scheme based on layered architecture, in which data transmitted to the cloud through a multi-hop routing. The new scheme introduces a novel algorithm to define a set of nodes called bridge layer, receiving data from the cluster-head-layer and forwards to the base station layer. Nodes in the bridge layer are selected according to their final score defined based on their energy-efficiency and distance-efficiency as given by the algorithm. Thus, ensuring a robust layer that helps in reducing the transmission energy and extending overall network lifetime. Our simulation results show an improved performance of our scheme over the scenario without bridge layer, in terms of several parameters we considered.


Sensor-Cloud, Virtualization, Energy-Efficient WSNs, IoT-based heterogeneous WSN.


I. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, “Wireless sensor networks: a survey,” Computer Networks, vol. 38, no. 4, pp. 393 – 422, 2002. [Online]. Available: http://www.sciencedirect.com/science/article/pii/S1389128601003024

N. Sghaier, A. Mellouk, B. Augustin, Y. Amirat, J. Marty, M. E. A. Khoussa, A. Abid, and R. Zitouni, “Wireless sensor networks for medical care services,” in 2011 7th International Wireless Communications and Mobile Computing Conference, July 2011, pp. 571–576.

M. T. Lazarescu, “Design of a wsn platform for long-term environmental monitoring for iot applications,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 3, no. 1, pp. 45–54, March 2013.

H. B. Lim, D. Ma, B. Wang, Z. Kalbarczyk, R. K. Iyer, and K. L. Watkin, “A soldier health monitoring system for military applications,” in 2010 International Conference on Body Sensor Networks, June 2010, pp. 246–249.

A. S. H. Abdul-Qawy and T. Srinivasulu, “SEES: a scalable and energy-efficient scheme for green IoT-based heterogeneous wireless nodes,” Journal of Ambient Intelligence and Humanized Computing, Springer, pp. 1–26, March 2018.

M. Yuriyama and T. Kushida, “Sensor-cloud infrastructure - physical sensor management with virtualized sensors on cloud computing,” in 2010 13th International Conference on Network-Based Information Systems, Sept 2010, pp. 1–8.

I. Khan, F. Belqasmi, R. Glitho, N. Crespi, M. Morrow, and P. Polakos, “Wireless sensor network virtualization: A survey,” IEEE Communications Surveys Tutorials, vol. 18, no. 1, pp. 553–576, First quarter 2016.

S. Madria, V. Kumar, and R. Dalvi, “Sensor cloud: A cloud of virtual sensors,” IEEE Software, vol. 31, no. 2, pp. 70–77, Mar 2014.

A. Alamri, W. S. Ansari, M. M. Hassan, M. S. Hossain, A. Alelaiwi, and M. A. Hossain, “A survey on sensor-cloud: Architecture, applications, and approaches,” International Journal of Distributed Sensor Networks, vol. 9, no. 2, p. 18, 2013.

Dung H. Phan and Junichi Suzuki, Shingo Omura and Katsuya Oba, “Toward sensor-cloud integration as a service: optimizing three-tier communication in cloud-integrated sensor networks,” in International Conference on Body Area Networks, October 2013, pp. 355–362.

Yi Xu, Sumi Helal, My T. Thai, Mark Schmalz, “Optimizing push/pull envelopes for energy-efficient cloud-sensor systems,” in The 14th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems, October 2011, pp. 17–26.

L. Ben Saad and B. Tourancheau, “Lifetime optimization of sensor-cloud systems,” in 2015 7th International Conference on New Technologies, Mobility and Security (NTMS), July 2015, pp. 1–5.

S. Chatterjee, S. Sarkar, and S. Misra, “Energy-efficient data transmission in sensor-cloud,” in 2015 Applications and Innovations in Mobile Computing (AIMoC), Feb 2015, pp. 68–73.

M. V. d. S. Lemos, R. H. Filho, R. D. A. L. Rabłlo, C. G. N. De Carvalho, D. L. d. S. Mendes, and V. D. G. Costa, “An energy-efficient approach to enhance virtual sensors provisioning in sensor clouds environments,” Sensors, vol. 18, no. 3, 2018. [Online]. Available: https://www.mdpi.com/1424-8220/18/3/689

H. Taleb, S. Hamrioui, P. Lorenz, and A. Bilami, “Integration of energy-aware wsns in cloud computing using ndn approach,” in 2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN), July 2017, pp. 188–192.

C. Sarkar, V. S. Rao, R. Venkatesha Prasad, S. N. Das, S. Misra, and A. Vasilakos, “Vsf: An energy-efficient sensing framework using virtual sensors,” IEEE Sensors Journal, vol. 16, no. 12, pp. 5046–5059, June 2016.

G. Smaragdakis, I. Matta, and A. Bestavros, “SEP: A stable election protocol for clustered heterogeneous wireless sensor networks,” in International Workshop on SANPA, 2004, pp. 251–261.

A. S. H. Abdul-Qawy and T. Srinivasulu, “EH-mulSEP: Energy-harvesting enabled multi-level SEP protocol for IoT-based heterogeneous WSNs,” in 3rd International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT), Presented, December 2017.

A. S. H. Abdul-Qawy, N. M. S. Almurisi, A. P. Kumar, and T. Srinivasulu, “Major energy dissipation sources in the IoT-based wireless networks,” 4th International Conference on New Frontiers of Engineering, Science, Management and Humanities (ICNFESMH-2017) and International Journal of Electronics, Electrical and Computational System (IJEECS), vol. 6,

no. 9, pp. 155–161, 2017.

W. B. Heinzelman, A. P. Chandrakasan, and H. Balakrishnan, “An application-specific protocol architecture for wireless microsensor networks,” IEEE Transactions on Wireless Communications, vol. 1, no. 4, pp. 660–670, 2002.

DOI: http://doi.org/10.11591/ijeecs.v18.i2.pp%25p
Total views : 33 times


  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

shopify stats IJEECS visitor statistics