Wireless Mesh Networking technology for commercial and industrial customers

Yarali, Abdulrahman

doi:10.1109/ccece.2008.4564493

Cited by 30 publications

(12 citation statements)

References 3 publications

(2 reference statements)

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“…Any device that joins the network creates additional opportunities for hops, or relay points for sending data through the network, thus increasing network coverage [200,202]. Multihopping also increases bandwidth, which is higher at shorter ranges [200,203]. Since the nodes create multiple pathways of communication, WMNs are relatively immune to single point failure, in which failure of one node disrupts communication through the whole system [200,202].…”

Section: Mesh Networkingmentioning

confidence: 99%

“…MANETs have primarily been used for military applications or specialized civilian operations, such as disaster recovery [200]; whereas, lower-cost WMNs have been applied more widely. WMNs have been used, for instance, to provide cost-effective Internet connectivity, especially for remote or scarcely populated communities [200,203], to create intelligent transportation systems which provide real-time travel information about public transit [200], to enhance communications for public safety and first response [201,203], and to improve utility company services, such as more accurate automated meter reading systems and quicker detection of gas or water leaks [203].…”

Section: Mesh Networkingmentioning

confidence: 99%

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Positioning Methods and the Use of Location and Activity Data in Forests

Keefe

Wempe

Becker

et al. 2019

Forests

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In this paper, we provide an overview of positioning systems for moving resources in forest and fire management and review the related literature. Emphasis is placed on the accuracy and range of different localization and location-sharing methods, particularly in forested environments and in the absence of conventional cellular or internet connectivity. We then conduct a second review of literature and concepts related to several emerging, broad themes in data science, including the terms location-based services (LBS), geofences, wearable technology, activity recognition, mesh networking, the Internet of Things (IoT), and big data. Our objective in this second review is to inform how these broader concepts, with implications for networking and analytics, may help to advance natural resource management and science in the future. Based on methods, themes, and concepts that arose in our systematic reviews, we then augmented the paper with additional literature from wildlife and fisheries management, as well as concepts from video object detection, relative positioning, and inventory-tracking that are also used as forms of localization. Based on our reviews of positioning technologies and emerging data science themes, we present a hierarchical model for collecting and sharing data in forest and fire management, and more broadly in the field of natural resources. The model reflects tradeoffs in range and bandwidth when recording, processing, and communicating large quantities of data in time and space to support resource management, science, and public safety in remote areas. In the hierarchical approach, wearable devices and other sensors typically transmit data at short distances using Bluetooth, Bluetooth Low Energy (BLE), or ANT wireless, and smartphones and tablets serve as intermediate data collection and processing hubs for information that can be subsequently transmitted using radio networking systems or satellite communication. Data with greater spatial and temporal complexity is typically processed incrementally at lower tiers, then fused and summarized at higher levels of incident command or resource management. Lastly, we outline several priority areas for future research to advance big data analytics in natural resources.

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Section: Mesh Networkingmentioning

confidence: 99%

Section: Mesh Networkingmentioning

confidence: 99%

Positioning Methods and the Use of Location and Activity Data in Forests

Keefe

Wempe

Becker

et al. 2019

Forests

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“…The connectivity to networks and management of appliance features is represented by smart technologies and Internet of Things [21]. The connectivity to appliances has been implemented using WiFi, WirelessHART, Bluetooth, Zigbee and Ethernet [25][26][27][28]. By using this connectivity, some specific parameters of power converters can be monitored and controlled [19].…”

Section: Introductionmentioning

confidence: 99%

Supervisory Control for Wireless Networked Power Converters in Residential Applications

et al. 2019

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This paper presents a methodology to design and utilize a supervisory controller for networked power converters in residential applications. Wireless networks have been interfaced to multiple power factor correction (PFC) converters which are proposed to support reactive power. Unregulated reactive power support from PFC converters could cause reactive power deficiency and instability. Therefore, a supervisory controller is necessary to govern the operation of PFC converters. WiFi and WirelessHART networks have been used to implement the supervisory controller. Different nodes of the power network are connected by wireless communication links to the supervisory controller. Asynchronous communication links latency and uncertain states affect the control and response of the PFC converters. To overcome these issues, the supervisory controller design method has been proposed based on the system identification and the Ziegler-Nichols rule. The proposed supervisory controller has been validated by using a hardware-in-the-loop (HIL) test bed. The HIL testbed consisted of an OP4510 simulator, a server computer, Texas Instrument-Digital Signal Controllers (TI-DSCs), WiFi and WirelessHART modules. Experimental results show that the proposed supervisory controller can help to support and govern reactive power flow in a residential power network. The proposed method of controller design will be useful for different small-scale power and wireless network integration.

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“…Some of those discuss the choice of communication architectures [5] that are appropriate for the various AMI applications, so as to achieve the traditional goals of communication reliability, efficiency and security. On the other hand, some papers talk about the pros and cons of multiple different communication technologies, such as power line communications [6], ZigBee [7] and WiFi [8], and compare their suitability to the AMI applica-tions. Furthermore, one new IEEE 802 standardization task group (802.11ah TG) [9] has been established and aims to create new standards to provide a guideline for the design of Smart Meter Network.…”

Section: Introductionmentioning

confidence: 99%

MAC Protocol Design for Smart Meter Network

Yang¹

2016

Smart Metering Technology and Services - Inspirations for Energy Utilities

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The new generation of power metering system that is advanced metering infrastructure "MI is expected to enable remote reading, control, demand response and other advanced functions, based on the integration of a new two-way communication network, which will be referred as Smart Meter Network SMN . In this chapter, we focus on the design principles of multiple access control M"C protocols for SMN. First, we list several features of SMN relevant to the design choice of the M"C protocols. Next, we introduce some performance evaluation metrics and give a survey of the associated research issues for the SMN M"C protocols design. In addition, we also note progress within the new IEEE standardization task group IEEE . ah TG currently working to create SMN standards. "fter that, in order to emphasize the importance of the performance metrics mentioned before, we give several M"C protocol design examples which could solve the associated research issues and challenges for the SMN.

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Wireless Mesh Networking technology for commercial and industrial customers

Cited by 30 publications

References 3 publications

Positioning Methods and the Use of Location and Activity Data in Forests

Positioning Methods and the Use of Location and Activity Data in Forests

Supervisory Control for Wireless Networked Power Converters in Residential Applications

MAC Protocol Design for Smart Meter Network

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