ICA3PP 2015: Algorithms and Architectures for Parallel Processing pp 744-754 | Cite as
MN-ALG: A Data Delivery Algorithm for Large Scale Wireless Electronic Shelf Label System
Abstract
Electronic Shelf Labeling System (ESLs) can be used in various application scenes such as in warehouses and supermarkets, it significantly improves the management efficiency. In this paper, we propose a data delivery algorithm called “MN-ALG”, on the purpose to fulfill: the ability of building large-scale networks; the requirement of label nodes using “Sleep/Waken” working mode; achieving efficient transmission of data. MN-ALG broadcasts notification messages to destination nodes via an auxiliary channel, achieves data delivery and notification process in parallel, and by controlling notified number, the problem of channel congestion could be avoided. We implement MN-ALG in real-world environment. Experimental data show, implementing the proposed MN-ALG algorithm would help enlarge the scale as well meets the latency constraints performance of the system in comparison with other data delivery algorithms.
Keywords
WSN ESLs Data delivery algorithm Large-scale Real-time Sleep/WakenNotes
Acknowledgments
This work is supported by the National Key Technology Support Program of China (NO. 2013BAH01B06), the Environmental Charity Project of China (NO. 2013467065) and the Ningbo Natural Science Foundation (No. 2013A610064).
References
- 1.Gholamzadeh, B., Nabovati, H.: Concepts for designing low power wireless sensor network. J. Proc. World Acad. Sci. Eng. Technol. 45, 560 (2008)Google Scholar
- 2.Tee, K.X., Chew, M.T., Demidenko, S.: An intelligent warehouse stock management and tracking system based on silicon identification technology and 1-wire network communication. In: 6th IEEE International Workshop on Electronic Design, Test and Applications, pp. 110–115, IEEE (2011)Google Scholar
- 3.Ying, W., Yu, H.: Design of electronic shelf label systems based on ZigBee. In: 4th IEEE International Conference on Software Engineering and Service Science (ICSESS) (2013)Google Scholar
- 4.Xu, J., Li, W., Xu, J., et al.: Design of electronic shelf label based on electronic paper display. In: 3rd International Conference on Consumer Electronics, Communications Networks, pp. 250–253, IEEE (2013)Google Scholar
- 5.De Mil, P., Jooris, B., Tytgat, L., et al.: Design and implementation of a generic energy-harvesting framework applied to the evaluation of a large-scale electronic shelf-labeling wireless sensor network. EURASIP J. Wirel. Commun. Netw. 2, 50 (2010)Google Scholar
- 6.Yang, Z., Peng, Y., Yue, Y., et al.: Study and application on the architecture and key technologies for IOT. In: International Conference on Multimedia Technology, pp. 747–751, IEEE (2011)Google Scholar
- 7.Zigbee Alliance. http://www.zigbee.org/
- 8.Boaventura, A.S., Carvalho, N.B.: A low-power wakeup radio for application in WSN-based indoor location systems. Int. J. Wirel. Inf. Netw. 20(1), 67–73 (2013)CrossRefGoogle Scholar
- 9.Feng, Y.J., Li, Z., Zhang, H.X., et al.: Sleep method of wireless electronic shelf labels using relative time. J. Guangdong Univ. Technol. 31(3), 130–136 (2014)Google Scholar
- 10.Yick, J., Mukherjee, B., Ghosal, D.: Wireless sensor network survey. J. Comput. Netw. Int. J. Comput. Telecommun. Netw. 52(12), 2292–2330 (2008)Google Scholar
- 11.Horvat, G., Zagar, G., Vinko, D.: Influence of node deployment parameters on QoS in large-scale WSN. In: 3rd Mediterranean Conference on Embedded Computing MECO 2014, pp. 202–205 (2014)Google Scholar
- 12.Hongsheng, L., Sumin, L., Bing, H.: Research on node sleep/wake-up mechanism in WSN based on energy threshold setting. In: 5th International Conference on Wireless Communications, Networking and Mobile Computing. WiCom 2009, pp. 1–4, IEEE (2009)Google Scholar
- 13.Ju, H., Li, C., Huang, A.: EasiCC: a congestion control mechanism for WSN. J. Comput. Res. Dev. (2008)Google Scholar
- 14.Cao, J., Xin, Y.U.: Congestion control algorithm for WSN in traffic information collection. Comput. Mod. 4, 59–63 (2014)Google Scholar
- 15.Yedage, S.L., Mehetre, D.C.: A survey on different wake-up scheduling in WSN. Int. Adv. Comput. Res. 4, 14 (2014)Google Scholar
- 16.Rajesh, S.L., Desai, S.C.: Nature inspired energy efficient wireless sensor networks: using duty-cycled wake-up scheduling swarm intelligence. Int. J. Comput. Trends Technol. 10, 5 (2014)Google Scholar