Energy consumption measurements and reduction of Zigbee based wireless sensor networks

Kouche, Ahmad El; Rashwan, Hatem A.; Hassanein, Hossam S.

doi:10.1109/glocom.2013.6831130

Cited by 9 publications

(6 citation statements)

References 5 publications

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“…By definition, a wireless sensor must have a wireless transceiver onboard. In addition to our work in Chapter 4, authors of [109][110][111] concur that the transceiver is the most power-demanding component in the SN. Thus, by reducing the number of instances of wireless transmissions, we can effectively reduce the power consumption of SNs.…”

Section: Introductionsupporting

confidence: 52%

Wireless Sensing for Ground Engaging Tools

Ibrahim

Hassan

Hassanein

et al. 2020

GLOBECOM 2020 - 2020 IEEE Global Communications Conference

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A long-standing industrial problem is tackled with an industrial internet of things (IIoT) application. This thesis presents the hardware design and development of a wireless sensor network for monitoring ground engaging tools of earth processing equipment. This work addresses several challenges in the hardware design. The challenges included establishing wireless communications from within a metallic enclosure, Investigating the effect of antenna tuning on the link budget, designing a protective package for the sensor node (SN) to withstand vibrations and mechanical shocks, and creating a low-power design that allowed for a minimum battery life of one year.Furthermore, this work puts forward the design of novel application-specific sensors including a low-power ferrous-selective proximity sensor and a low-cost capacitive wear-level sensor.Hardware designs were evaluated with laboratory and field tests. The conducted tests demonstrated the SN's functionality and performance in harsh operating conditions. The journey from problem definition and to successful field testing of the complete wireless sensing solution is covered in this thesis.In addition, a novel energy-efficient approach to wireless real-time sensing is presented. For an SN transmitting samples of a discrete time-series in real-time, its DisclaimerThis work was made possible through the software developed by Galal Hassan. His work on the shovel project covered firmware development for the sensor node, software development for the sink, and setting up the back-end cloud server including the dashboard. Furthermore, Galal has contributed significantly to the success of the shovel project by developing an energy-efficient MAC protocol [1] which allowed for satisfying the life-time requirement of the sensor nodes.

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Section: Introductionsupporting

confidence: 52%

Wireless Sensing for Ground Engaging Tools

Ibrahim

Hassan

Hassanein

et al. 2020

GLOBECOM 2020 - 2020 IEEE Global Communications Conference

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“…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%

“…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%

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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“…The default behaviour of a Z-Stack End-Device (ZED) is studied in [54] and To operate the Z-Stack protocol on the devices based on energy harvesting, meaningful changes must be made in node behaviours to prevent the system power down. Nodes running on harvested energy may be programmed so that their energy constraints are short term while battery operated nodes have strong long term energy limitations.…”

Section: Configuration Of Z-stack and Proposed Algorithm For Energy Hmentioning

confidence: 99%

“…Default Z-Stack behaviour of a ZED (a) No network is found at the beginning (b) No network is found after successful joining[54] …”

mentioning

confidence: 99%

Vibration energy harvesters for wireless sensor networks for aircraft health monitoring

Chai

Tsourdos

et al. 2016

2016 IEEE Metrology for Aerospace (MetroAeroSpace)

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Traditional power supply for wireless sensor nodes is batteries. However, the application of batteries in WSN has been limited due to their large size, low capacity, limited working life, and replacement cost. With rapid advancements in microelectronics, power consumption of WSN is getting lower and hence the energy harvested from ambient may be sufficient to power the tiny sensor nodes and eliminate batteries completely. As vibration is the widespread ambient source that exists in abundance on an aircraft, a WSN node system used for aircraft health monitoring powered by a piezoelectric energy harvester was designed and manufactured. Furthermore, simulations were performed to validate the design and evaluate the performance. In addition, the Z-Stack protocol was migrated to run on the system and initial experiments were carried out to analyse the current consumption of the system. A new approach for power management was reported, the execution of the operations were determined by the amount of the energy stored on the capacitor. A novel power saving interface was also developed to minimise the power consumption during the voltage measurement.

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Energy consumption measurements and reduction of Zigbee based wireless sensor networks

Cited by 9 publications

References 5 publications

Wireless Sensing for Ground Engaging Tools

Wireless Sensing for Ground Engaging Tools

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

Vibration energy harvesters for wireless sensor networks for aircraft health monitoring

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