Updating price tags in a large-scale market is a recurrent task, still performed manually in most markets. Given that human-errors can easily lead to customer complaints and accounting inaccuracies, the ability to autonomously reconfigure price tags can be of significant benefit. With the introduction of low-power display techniques such as electronicink, applications of enabling electronic, wirelessly reconfigurable price tags show potential for future deployment. In this work, we examine networking architectures that can be applied in such scenarios. Through a series of preliminary pilot studies in an actual supermarket, we show that the performance of existing protocols are not ready to overcome the unique challenges of busy market environments. We identify underlying technical challenges and propose MarketNet, an asymmetric transmission power-based system designed for densely populated, obstacle-rich, downwards traffic-oriented environments. We evaluate MarketNet in a large indoor market visited by 5000+ customers per day. Our results show that MarketNet addresses the challenges of the target application and environment, while achieving higher packet delivery performance with noticeably lower radio duty-cycles than existing protocols such as RPL and SHDP.
|Title of host publication||SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems|
|Publisher||Association for Computing Machinery, Inc|
|Number of pages||14|
|Publication status||Published - 2015 Nov 1|
|Event||13th ACM Conference on Embedded Networked Sensor Systems, SenSys 2015 - Seoul, Korea, Republic of|
Duration: 2015 Nov 1 → 2015 Nov 4
|Name||SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems|
|Conference||13th ACM Conference on Embedded Networked Sensor Systems, SenSys 2015|
|Country/Territory||Korea, Republic of|
|Period||15/11/1 → 15/11/4|
Bibliographical noteFunding Information:
We would like to thank the reviewers for their insightful comments and Prof. Bhaskar Krishnamachari for his efforts in shepherding the paper. This work was supported in part by a grant to Bio-Mimetic Robot Research Center Funded by Defense Acquisition Program Administration and by Agency for Defense Development (UD130070ID), and in part by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2014R1A1A2056626).
© 2015 ACM.
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Computer Networks and Communications
- Electrical and Electronic Engineering