Supply Chain Management Automation using Wireless Sensor Networks

Evers, L.; Havinga, Paul J.M.

doi:10.1109/mobhoc.2007.4428689

Cited by 13 publications

(7 citation statements)

References 1 publication

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“…WSNs are also used to assist elderly and disabled people in their daily routine tasks. Over the past few decades, they have undergone large deployments in diverse applications, including transportation, agriculture, industrial process automation and control, and supply chain management . Because of their ubiquitous presence and considering potential benefits leveraged by these networks—such as simple deployment, cheap installation cost, no wiring cost, less complexity, and mobility—they are increasingly used in industrial applications, which have resulted into IWSNs.…”

Section: Role Of Wsn In Industry 40mentioning

confidence: 99%

Industrial wireless sensor and actuator networks in industry 4.0: Exploring requirements, protocols, and challenges—A MAC survey

Raza

Faheem

Guenes

2019

Int J Communication

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Summary The vision to connect everyday physical objects to the Internet promises to create the Internet of Things (IoT), which is expected to integrate the diverse technologies such as sensors, actuators, radio frequency identification, communication technologies, and Internet protocols. Thus, IoT promises to transfer traditional industry to advance digital industry known as the Industry 4.0. At the core of the Industry 4.0 are the wireless sensor networks (WSNs) and wireless sensor and actuator networks (WSANs) that led to the development of industrial wireless sensor networks (IWSNs) and industrial wireless sensor and actuator networks (IWSANs). These networks play a central role of connecting machines, parts, products, and humans and create a diverse set of new applications to support intelligent and autonomous decision making. The IWSAN is a promising technology for numerous industrial applications because of their several potential benefits such as simple deployment, low cost, less complexity, and mobility support. However, despite such benefits, they impose several unique challenges at different layers of the protocol stack when deploying them for various monitoring and control applications in the Industry 4.0. In this article, we explore IWSAN, its applications, requirements, challenges, and solutions in the context of industrial control applications. Our main focus is on the medium access control (MAC) layer that can be exploited to satisfy such requirements. Our discussion presents extensive background study of the MAC schemes and it reviews the MAC protocols of the existing wireless standards and technologies. A number of application‐specific MAC protocols developed to support industrial applications, which are not part of these standards, are also elaborated. We rationalize to what extent the existing standards and protocols help in solving such requirements as laid down by the Industry 4.0. In the end, we emphasize on existing challenges and present important future directions.

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Section: Role Of Wsn In Industry 40mentioning

confidence: 99%

Industrial wireless sensor and actuator networks in industry 4.0: Exploring requirements, protocols, and challenges—A MAC survey

Raza

Faheem

Guenes

2019

Int J Communication

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“…In the context of their approach for efficient and secure sensor reprogramming within logistics WSNs, Evers and Havinga outline an option for autonomously verifying correct handling conditions during a transport process [11]. They focus on the detection of temperature violations and corresponding transmissions of alarm messages.…”

Section: Related Workmentioning

confidence: 99%

Data filtering for wireless sensor networks using forecasting and value of information

Zöller

Vollmer

Wachtel

et al. 2013

38th Annual IEEE Conference on Local Computer Networks

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Energy constitutes a scarce resource in wireless sensor networks, making energy-efficient operation mandatory. Data transmission has been identified as one of the most energy consuming operations. Consequently, different approaches to reduce data transmissions have been proposed, like data filtering.Recently, the value of information of sensor data has been identified for data filtering, explicitly incorporating application-specific and context-dependent information needs. The filtering is done according to the benefit a data transmission would induce at the recipient. We propose an on-mote filtering approach, which relies on local multi-step assessment of sensor data with forecasting and assessing value of information. We apply our approach to logistics transport processes and evaluate it concerning number of data transmissions and energy efficiency. Our simulation results showed that with our approach the number of data transmissions and the energy consumption can be reduced by over 25% to over 60%, while simultaneously accounting for user-specific information desires.

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“…Conf. on Pervasive Computing Technologies for Healthcare, 2009); monitoring animals in farms (Andonovic et al, 2009); or monitoring goods moving around, e.g., for supply chain management (Evers & Havinga, 2007). SLIM supports these scenarios through a middleware explicitly designed to be embedded in small scale nodes like sensor motes, which supports both service location (i.e., discovery) and invocation.…”

Section: The Slim Architecturementioning

confidence: 99%

Slim

Cugola

Margara

2010

International Journal of Systems and Service-Oriented Engineering

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One of the main obstacles to the adoption of Wireless Sensor Networks (WSNs) outside the research community is the lack of high level mechanisms to easily program them. This problem affects distributed applications in general, and it has been replied by the Software Engineering community, which recently embraced Service Oriented Programming (SOP) as a powerful abstraction to ease development of distributed applications in traditional networking scenarios. In this paper we move from these two observations to propose SLIM: a middleware to support service oriented programming in mobile Wireless Sensor and Actuator Networks (WSANs). The presence of actuators into the network and the capability of SLIM to support efficient multicast invocation within an advanced protocol explicitly tailored to mobile scenarios, makes it a good candidate to ease development of complex monitoring and controlling applications. In the paper we describe SLIM in details and show how its performance easily exceeds those obtainable by using traditional approaches to service invocation in mobile ad-hoc networks.

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Supply Chain Management Automation using Wireless Sensor Networks

Cited by 13 publications

References 1 publication

Industrial wireless sensor and actuator networks in industry 4.0: Exploring requirements, protocols, and challenges—A MAC survey

Industrial wireless sensor and actuator networks in industry 4.0: Exploring requirements, protocols, and challenges—A MAC survey

Data filtering for wireless sensor networks using forecasting and value of information

Slim

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