A survey of wireless sensor network applications from a power utility's distribution perspective

Isaac, Sherrin J.; Hancke, Gerhard P.; Madhoo, Hinesh; Khatri, Amal

doi:10.1109/afrcon.2011.6072184

Cited by 32 publications

(12 citation statements)

References 15 publications

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“…Another study has mentioned that obtainable monitoring applications includes inside and outside ecological monitoring [14], industrial monitoring [15], precision agriculture [16], biomedical or health monitoring [17], electrical network monitoring [18], military location monitoring [19], etc. more classification ware summarised in Fig.…”

Section: Fig 1: a Reproduced Classification Of Wsn Application Adaptmentioning

confidence: 99%

Wireless Sensor Networks, Internet of Things, and Their Challenges

2019

IJITEE

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Internet of Things (IoT) is currently one of the top technological concepts where users and objects are interconnected using wired and wireless technologies such as Wireless Sensor Networks (WSNs), ZigBee, NFC, RFID, GPRS, LTE and Bluetooth, anywhere and anyplace. Within the past ten years, the idea of IoT has drawn massive consideration from both the business and research communities. Application domains may have many substantial benefits by means of an IoT approach. The idea of this field of study is to portray a basic knowledge of smart environmental monitoring system based on IoT. It has been stated in various studies in the past that IoT is facing multiple issues such as authentication, identification, availability, security and privacy, and socio-technical trust system (STTS). Nowadays, existing smart environments are continuing to face major IoT setbacks and challenges with regards to security, privacy, and STTS. Creating a STTS comparison in IoT is one of the principal significant breakthroughs necessary for building stable structures which will serve to eliminate doubt and technical setbacks. This study will present an outline of security, privacy and STTS in IoT while using a simulation method for comparing the results and justifying the outcomes. It aims to highlight and define the effectiveness of trust-management and how it should be exploited in IoT. The results will be indicated based upon past and present study result comparisons.

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Section: Fig 1: a Reproduced Classification Of Wsn Application Adaptmentioning

confidence: 99%

Wireless Sensor Networks, Internet of Things, and Their Challenges

2019

IJITEE

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“…Jeng-Yang Wuet al [4] proposed a method to detect the faulty node according to majority voting that needs fusion center to detecting faulty nodes in each time interval. The deployed sensor network in these applications may need to report its decision at every time step [4].Considering what was mentioned above, this method cannot be useful in all environments. Our new approach does not have this shortcoming, as it does not need computation of every time step.…”

Section: Comparisonmentioning

confidence: 99%

“…A major usage of WSN is to observe and report the incidents of events of interest such as environment temperature, etc. [1][2][3] [4]. In different WSN applications, [5] nodes because of physical causes or hardware crash may always have failure, which causes some problems in network functionality thus detecting failure nodes is really important.…”

Section: Introductionmentioning

confidence: 99%

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2012

IJASSN

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“…In order to reduce the emission of greenhouse gases, the introduction of renewable direct current (DC) energy into operations is seen as an effective solution rather than the conventional alternating current (AC) energy [3], [4]. This is also one of the goals for moving towards the deployment of emerging and intelligent technologies [5]. Gungor et al [6] provide a comprehensive look at the state of the art in sensor network applications and technologies for industry.…”

Section: Introductionmentioning

confidence: 99%

Sensor network for DC distribution for energy-efficient data centers and future buildings

Paul

Kruger

Hancke

et al. 2016

2016 IEEE International Conference on Industrial Technology (ICIT)

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This paper describes the work carried out on the implementation of a wireless sensor network that was created for a data center using the 6LoWPAN communication protocol which monitors power consumption readings at various nodes in the system. A direct current (DC) network controller was designed to distribute DC energy through the system and provide power to a data center load in future buildings. The controller makes control actions based on sensor network data. An energy measuring accuracy of 98.2% was achieved. A wireless sensor network consisting of a host node and two client nodes was implemented with 6LoWPAN. A DC network controller that provides continuous power to a data center load was implemented with an automated control method. A graphical user interface interfaced with the controller displays power consumption at different nodes in the system, stores the readings in a database and plots power usages periodically. An automated control algorithm with various control actions was developed on the control unit for the user to operate the data center. Such a system is not only limited to data centers, but can also be used in monitoring/control for future buildings. These will become more widespread with the advent of IoT and big data that will be generated from IoT. Figure 7: Power usage reported on the GUI. IV. RESULTSThis section presents the experimental results. A. Wireless communicationAn open area test was conducted to determine the maximum range of the wireless modules. The results show that communication ranges in line-of-sight (LOS) of up to 156 meters are possible.A test to determine the performance of non-line-of-sight (NLOS) communication was conducted by attempting communication through walls. This test resulted in transmission over two walls over a distance of 40 meters. A network recovery time of 3.75 seconds was observed. B. Accuracy of reported power consumptionTo determine the accuracy of the reported voltage and current measurements, the readings reported by the sensor

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A survey of wireless sensor network applications from a power utility's distribution perspective

Cited by 32 publications

References 15 publications

Wireless Sensor Networks, Internet of Things, and Their Challenges

Wireless Sensor Networks, Internet of Things, and Their Challenges

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Sensor network for DC distribution for energy-efficient data centers and future buildings

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