Feasibility of using a wireless mesh sensor network in a coal-fired power plant

Hussey, Aaron; Nasipuri, Asis; Cox, Robert W.; Sorge, John

doi:10.1109/secon.2010.5453846

Cited by 4 publications

(1 citation statement)

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“…• Local processing of data prior to submitting to base station • Wide area coverage using a large number of small and affordable sensors • Robust to failures because distributed nature of network results in no single point of failure • Allow sharing and fusion of data from multiple devices, allowing information to have different content, resolution, and accuracy DSNs have been used in power plants [6], as well as environmental and substation monitoring [5], [7]. Although DSNs provide many advantages in industrial plant applications, a key challenge with the design of such sensor networks is ensuring Quality of Service (QoS) requirements are met [4].…”

Section: A Distributed Sensor Networkmentioning

confidence: 99%

Coordination and control for large distributed sensor networks

Colby

Parker

Tumer

2012

2012 Future of Instrumentation International Workshop (FIIW) Proceedings

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As the complexity of power plants increase, so does the difficulty in accurately modeling the interactions among the subsystems. Distributed sensing and control offers a possible solution to this problem, but introduces a new one: how to ensure that each subsystem satisfying its control objective leads to the safe and reliable operation of the entire power plant. In this work we present a distributed coordination algorithm that offers safe, reliable, and scalable control of a distributed system. In this approach, each system component uses a reinforcement learning algorithms to achieve its own objectives, but those objectives are derived to coordinate implicitly and achieve the system level objective. We show that in a TimeExtended Defect Combination Problem where the agents need to determine when and whether or not they should be sensing in order to maintain QoS in a system, the proposed method outperforms traditional methods by up to two orders of magnitude.

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Section: A Distributed Sensor Networkmentioning

confidence: 99%

Coordination and control for large distributed sensor networks

Colby

Parker

Tumer

2012

2012 Future of Instrumentation International Workshop (FIIW) Proceedings

View full text Add to dashboard Cite

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Wireless Sensor Network as a Mesh: Vision and Challenges

et al. 2022

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Nowadays, network technologies are developing very rapidly. The growing volume of transmitted information (video, data, VoIP, etc.), the physical growth of networks, and inter-network traffic are forcing manufacturers to produce more powerful and ''smart'' devices that use new methods of transferring and sorting data. Such connected smart devices (IoT) are used in intelligently controlled traffic for self-driving vehicles in Vehicle Adhoc Networks (VANET), in electricity and water in smart cities, and in-home automation in smart homes. These types of connected Internet of Things (IoT) devices are used to leverage different types of network structures. Such IoT sensor devices can be deployed as a wireless sensor network (WSN) in a mesh topology. Both WSNs and Wireless Mesh Networks (WMNs) are easy to organize as well as to deploy. In this case, there are many reasons for combining these different types of networks. In particular, the detailed sensory capabilities of sensor networks may be improved by increasing bandwidth, reliability and power consumption in the mesh topology. However, there are currently only a handful of studies devoting to integrate these two different types of networks. In addition, there is no systematic review of existing interconnection methods. That is why in this article we explore the existing methods of these two networks and provide an analytical basis for their relationship. We introduce the definition of WSN and WMN and then look at some case studies. Afterward, we present several challenges and opportunities in the area of combined Wireless Mesh Sensor Network (WMSN) followed by a discussion on this interconnection through literature review and hope that this document will attract the attention of the community and inspire further research in this direction.

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