A Smart Monitoring System for Campus Using Zigbee Wireless Sensor Networks

Allahham, Alaa Azmi; Rahman, Md. Arafatur

doi:10.15282/ijsecs.4.1.2018.1.0034

Cited by 34 publications

(20 citation statements)

References 9 publications

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“…Every day, the implementation of using WSN is rapidly increasing, and it will keep increasing in the next few years because of flexibilities and cost efficiencies [18]. The WSN is easily made for users to perform their job, such as collecting data, tracing a location and analysing information.…”

Section: Resultsmentioning

confidence: 99%

An enhancement of path selection to cluster head based on multi-hop routing in two-tier wireless sensor network

Din¹,

Abdullah²,

Razali³

et al. 2019

IJECE

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<span lang="EN-US">Wireless Sensor Network (WSN) is a distributed wireless connection that consists many wireless sensor devices. It is used to get information from the surrounding activities or the environment and send the details to the user for future work. Due to its advantages, WSN has been widely used to help people to collect, monitor and analyse data. However, the biggest limitation of WSN is about the network lifetime. Usually WSN has a small energy capacity for operation, and after the energy was used up below the threshold value, it will then be declared as a dead node. When this happens, the sensor node cannot receive and send the data until the energy is renewed. To reduce WSN energy consumption, the process of selecting a path to the destination is very important. Currently, the data transmission from sensor nodes to the cluster head uses a single hop which consumes more energy; thus, in this paper the enhancement of previous algorithm, which is MAP, the data transmission will use several paths to reach the cluster head. The best path uses a small amount of energy and will take a short time for packet delivery. The element of Shortest Path First (SPF) Algorithm that is used in a routing protocol will be implemented. It will determine the path based on a cost, in which the decision will be made depending on the lowest cost between several connected paths. By using the MATLAB simulation tool, the performance of SPF algorithm and conventional method will be evaluated. The expected result of SPF implementation will increase the energy consumption in order to prolong the network lifetime for WSN.</span>

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Section: Resultsmentioning

confidence: 99%

An enhancement of path selection to cluster head based on multi-hop routing in two-tier wireless sensor network

Din¹,

Abdullah²,

Razali³

et al. 2019

IJECE

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show abstract

“…= G se + j.B se Equation ( 8) was then substituted in Equation ( 6) and ( 7). After done with equating their real and imaginary components, these four equations were performed in matrix notation as in (8). This means that the PMU measurements were breakdown into equation (9).…”

Section: B Improved Pi Modelmentioning

confidence: 99%

“…For real-time monitoring and data acquisition, SCS is utilized to form a wireless sensor network to incorporate all the sensors data. Wireless sensor networks have proved significant effectiveness in terms of reliability, security, and smart monitoring in the literature [8], [9]. Furthermore, SCS also provides scalability, and flexibility during real-time monitoring [10].…”

mentioning

confidence: 99%

An Improved Dynamic Thermal Current Rating Model for PMU-Based Wide Area Measurement Framework for Reliability Analysis Utilizing Sensor Cloud System

et al. 2021

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Information technology expressively improves remote electricity measurement and monitoring. Integrating Dynamic Thermal Current Rating (DTCR) software packs with the exclusive phasor measurement-based Wide Area Measurement (WAM) framework, the remote Transmission Lines (TLs) current rating can be measured. WAM is used for data acquisition from different sensors, and also allows data transmissions and processing for which sensor cloud system (SCS) plays a vital role. DTCR with phasor-measurement based WAM framework is mainly used to analyze and determine the current ratings of overhead TLs using weather condition estimation or prediction methods. However, the recent study suggests that the accuracy of the DTCR has become an issue in the smart grid of Sarawak Energy Berhad (SEB). Hence, this article studies and discusses the relevant models and systems, and then proposes an improved thermal pi (π) model for the transmission line thermal model of DTCR software in WAM Framework. The performance of the improved π model will be distinguished from the existing thermal model. The weather factors that bring a substantial impact on the current rating is also considered, where the relevant data is monitored via different weather sensors. Besides, this study also focuses on calibrating the DTCR through phasor measurement in the WAM system, as well as the field measured data. All the data is collected from relevant sensors, and a detailed comparative analysis is provided based on the proposed model for the sake of improving the reliability of the system. The performance analysis of the thermal models is evaluated using Matlab software-based numerical analysis.INDEX TERMS Dynamic thermal current ratings, data acquisition system, information technology, phasor measurement unit, reliability, sensors, sensor cloud system, wide area measurement. NOMENCLATURE ABBREVIATIONS ACSR Aluminum Conductor Steel Rectifier CTE Conductor Temperature EvaluationThe associate editor coordinating the review of this manuscript and approving it for publication was Eyuphan Bulut .

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“…However, a common problem with this approach is the complexity associated with the computational process of sensor nodes criticality factor that is computed using logical network abridgment and the concept of graph theory. Although this step is required only once during the entire lifetime of WSNs, however, the computational complexity is very high which makes its realization questionable in a realistic environment of WSNs [17].…”

Section: Introductionmentioning

confidence: 99%

A Reliable Communication and Load Balancing Scheme for Resource-Limited Networks

et al. 2020

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Sensor-cloud infrastructure provides a storage platform for the massive sensed data, that is flexible and re-configurable, for various application areas which are monitored through the resourcelimited networks such as wireless sensor networks (WSNs), ad hoc networks, and Internet of things (IoT). Due to their overwhelming characteristics, these networks are used in different application areas to assist human beings in their daily-life activities. However, these networks have different challenging issues such as reliability in communication and processing, storage of the massive data, efficient utilization of on-board battery, maximum lifetime achievement, minimum possible average packet loss ratio, and reliable routing mechanisms. Although various communication and load balancing mechanisms have been proposed in the literature to resolve this issue, however, these schemes are either application specific or overlay complex. In this paper, a reliable communication and load balancing scheme for the resource-limited networks is presented to resolve these issues, particularly with available resources. To achieve these goals, the proposed scheme bounds every sensing device C i to compute the transmission capabilities of its neighboring devices that is residual energy E r , hop count H c , round trip time (RT T i), and processing cost. Initially, to guarantee reliable wireless communication, a source device prefers a neighboring device C i with minimum H c value over those having maximum H c values. Moreover, this scheme bounds every device C i to find four shortest & reliable paths and forward maximum packets on two of these paths preferably on the most reliable and optimal route. Therefore, unlike the traditional shortest path scheme, devices C i reside on these paths do not deplete their on-board battery more rapidly than others. To further improve the reliability of the proposed scheme, the assigned weight-age factors are fine-tuned if one or two of the neighboring devices C i consume 80% of their on-board battery, that is now maximum weight-age is assigned to the residual energy E r and minimum to H c value respectively. Simulation results show the exceptional performance of the proposed reliable communication and load balancing scheme against the field-proven schemes in terms of average packet delivery ratio, average throughput, end-to-end delay, and overall network lifetime.

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A Smart Monitoring System for Campus Using Zigbee Wireless Sensor Networks

Cited by 34 publications

References 9 publications

An enhancement of path selection to cluster head based on multi-hop routing in two-tier wireless sensor network

An enhancement of path selection to cluster head based on multi-hop routing in two-tier wireless sensor network

An Improved Dynamic Thermal Current Rating Model for PMU-Based Wide Area Measurement Framework for Reliability Analysis Utilizing Sensor Cloud System

A Reliable Communication and Load Balancing Scheme for Resource-Limited Networks

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