A Case Study of Sensor Data Collection and Analysis in Smart City: Provenance in Smart Food Supply Chain

Abstract

Accelerated growth of urban population in the world put incremental stresses on metropolitan cities. Smart city centric strategies are expected to comprise solutions to sustainable environment and urban life. Acting as an indispensable role in smart city, IoT (Internet of Things) connects the executive ability of the physical world and the intelligence of the computational world, aiming to enlarge the capabilities of things in real city and strengthen the practicality of functions in cyber world. One of the important application areas of IoT in cities is food industry. Municipality governors are withstanding all kinds of food safety issues and enduring the hardest time ever due to the lack of sufficient guidance and supervision. IoT systems help to monitor, analyze, and manage the real food industry in cities. In this paper, a smart sensor data collection strategy for IoT is proposed, which would improve the efficiency and accuracy of provenance with the minimized size of data set at the same time. We then present algorithms of tracing contamination source and back tracking potential infected food in the markets. Our strategy and algorithms are evaluated with a comprehensive evaluation case of this IoT system, which shows that this system performs well even with big data as well.

Information technology for sustainable supply chain management: a literature survey

“…'Internet of Things') as well as of agile and multiagent systems seems appropriate. The potential of the 'Internet of Things' in the SCM context has already been addressed to some extent (Zhang et al 2013; also driven by RFID or cloud-based infrastructure). Despite the presumably great interest of this topic for the general domain of IT and SCM, only a few researchers appear to have researched the opportunities of applying multiagents.…”

“…Even consumer health may be improved when tracking livestock in food supply chains (Wognum et al 2011). Similarly, sensor networks embedded in an 'Internet of Things' may secure food supply chains in cities (Zhang et al 2013).…”

“…Therefore, companies in the food or agricultural supply chain, for example, need a high level of transparency in order to fulfil these demands, which is only possible using IT (Trienekens et al 2012;Lehmann, Reiche, and Schiefer 2012;Zhang et al 2013). Additionally, although Koh et al (2013) primarily consider carbon emissions, they also consider the social implications of evaluating carbon reduction measures in their system.…”

“…Only one paper focuses directly on social effects by describing IT as an enabler for communicating knowledge about diseases to improve social issues in the respective community (Rao 2007). Transmitting sensor data for food safety could be understood in this sense (Zhang et al 2013). Direct environmental effects of IT can be attributed to the optimisation of carbon emissions as implemented in the IBM carbon tool (Sourirajan et al 2009) or in the SCEnAT tool for supply chain decarbonisation (Koh et al 2013).…”

The Future of Emerging IoT Paradigms: Architectures and Technologies

“…Within the US, food imports have increased by 22% between the years 1997 and 2005. Due to the large increase in food imports and the challenges of keeping track of all imports in a manner which would prevent food spoilage, contamination, and wastage among other things, a smarter, technologically based system of tracking food has the potential to make great improvements to the current system [150].…”