Performance evaluations of ZigBee in different smart grid environments

Bilgin, Bilal Erman; Güngör, Vehbi Çağrı

doi:10.1016/j.comnet.2012.03.002

Cited by 59 publications

(27 citation statements)

References 20 publications

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“…Initially, evaluations of suitable technologies focused primarily on short-range communications such as WiFi [7], [2], [10], Bluetooth, and Zigbee [7,1,2,3,4,10,12] due to their low power features, therefore making them appropriate for battery powered IoT applications. To extend range such systems required mesh/multi-hop protocols, which were difficult to realize and increased deployment costs and communication delays.…”

Section: Prior Related Workmentioning

confidence: 99%

“…While a number of real deployments exist there are very few that report comprehensive evaluations of the technologies used. In fact, many recent comparative studies make use of simulations, are based on datasheets [7,1,2,10,14], or focus on practical evaluations over a single technological dimension e.g. power consumption [3,4,12].…”

Section: Prior Related Workmentioning

confidence: 99%

“…The transmitter was placed on a pole at 1.20m height (Figure 3 -right). As the receiver was po- 1 The altitude was measured accurately by using high resolution survey class GPS (http://www.geosurvey.co.uk/ geomax-gps-gnss-glonass/geomax-zenith-gps-gnss).…”

Section: Communication Modulesmentioning

confidence: 99%

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Demystifying low-power wide-area communications for city IoT applications

Kartakis

Choudhary

Gluhak

et al. 2016

Proceedings of the Tenth ACM International Workshop on Wireless Network Testbeds, Experimental Evaluation, and Characterization

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Low Power Wide Area (LPWA) communication technologies have the potential to provide a step change in the enablement of cost-effective and energy efficient Internet of Things (IoT) applications. With an increase in the number of offerings available the real performance of these emerging technologies remain unclear. That is, each technology comes with its own advantages and limitations; yet there is a lack of comparative studies that examine their trade-offs based on empirical evidence. This poses a major challenge to IoT solution architects and developers in selecting an appropriate technology for an envisioned IoT application in a given deployment context.In this paper, we look beyond data sheets and white papers of LPWA communication technologies and provide insights into the performance of three emerging LPWA solutions based on real world experiments with different traffic loads and in different urban deployment contexts. Under the context of this study, specialized hardware was created to incorporate the different technologies and provide scientific quantitative and qualitative information related to data rates, success rates, transmission mode energy and power consumption, and communication ranges. The results of experimentation highlight the practicalities of placing LPWA technologies in real spaces and provide guidelines to IoT solution developers in terms of LPWA technology selection. Overall aim is to facilitate the design of new LPWA technologies and adaptive communication strategies that inform future IoT platforms.

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Section: Prior Related Workmentioning

confidence: 99%

Section: Prior Related Workmentioning

confidence: 99%

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Demystifying low-power wide-area communications for city IoT applications

Kartakis

Choudhary

Gluhak

et al. 2016

Proceedings of the Tenth ACM International Workshop on Wireless Network Testbeds, Experimental Evaluation, and Characterization

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“…These problems lead to memory loss and make system unreliable. WSNs accomplish and sense animals, vegetation help to recover the damage occur by these animals and vegetation [11].…”

Section: Animals and Vegetation Control Systemmentioning

confidence: 99%

“…In the underground power lines, various failures occur in joints, terminations and maintenance should be provided according to system requirement [11].…”

Section: Underground Cable Systemmentioning

confidence: 99%

Examine the Behavior of Node Mobility in ZigBee Sensor Network

Kaur¹,

Singh²,

Singh³

2014

IJCA

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This paper is mainly based upon mobility. In this paper three topologies are used i.e. mesh, tree and hybrid topology. The hybrid topology is implemented by using the combination of mesh and tree topology. The data-based setup is done by changingmobile percentageof nodes. The performance of these topologies is measured using parameters throughput, MAC delay, MTR and MTS.The result show better performances of hybrid topology, which provides low MAC delay and effective throughput in the mobile network. The simulation is done by OPNET modeler 14.5.

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