Modelling an energy-efficient ZigBee (IEEE 802.15.4) body area network in IoT-based smart homes

Koren, Ana; Šimunić, Dina

doi:10.23919/mipro.2018.8400068

Cited by 13 publications

(8 citation statements)

References 20 publications

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“…The same principle can be similarly applied to energy efficiency. We observed that a node gains throughput by using part of its energy to transmit data as discussed in [15], [30], [31], [38], [39]. This implies that, using energy to gain immediate throughput and saving energy in order to gain throughput in the future are two sides of the same coin, hence they are to be considered together.…”

Section: B Related Workmentioning

confidence: 98%

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A Smart Game for Data Transmission and Energy Consumption in the Internet of Things

Abegunde

Xiao

Spring

2020

IEEE Internet Things J.

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The current trend in developing smart technology for the Internet of Things (IoT) has motivated a lot of research interest in optimising data transmission or minimising energy consumption, but with little evidence of proposals for achieving both objectives in a single model. Using the concept of game theory, we develop a new MAC protocol for IEEE 802.15.4 and IoT networks in which we formulate a novel expression for the players' utility function and establish a stable Nash Equilibrium (NE) for the game. The proposed IEEE 802.15.4 MAC protocol is modelled as a smart game in which analytical expressions are derived for channel access probability, data transmission probability and energy used. These analytical expressions are used in formulating an Optimization Problem (OP) that maximizes data transmission and minimizes energy consumption by nodes. The analysis and simulation results suggest that the proposed scheme is scalable and achieves better performance in terms of data transmission, energy efficiency and longevity, when compared with the default IEEE 802.15.4 access mechanism.

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Section: B Related Workmentioning

confidence: 98%

“…The BI consists of the active duration known as Superframe Duration (SD) and the Inactive Period (IP), in which nodes can enter a low-power (sleep) mode. The active portion (SD), is also divided into Contention Access Period (CAP) and Contention Free Period (CFP) [39].…”

Section: 4 Standardmentioning

confidence: 99%

A Smart Game for Data Transmission and Energy Consumption in the Internet of Things

Abegunde

Xiao

Spring

2020

IEEE Internet Things J.

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“…In the past, many researchers have used IEEE 802.15.4 for health monitoring tasks. Recently Koren and Šimunić [5] discussed the ZigBee based body area network for health monitoring in the smart home application category. However, the study is limited to the simulation environment.…”

Section: Introductionmentioning

confidence: 99%

Opportunities and Challenges in Health Sensing for Extreme Industrial Environment: Perspectives From Underground Mines

et al. 2019

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Occupational health and safety hazards in the extreme work environment of underground mines remained a serious concern for both mine management and regulatory agency. Miners are often employed to perform different mining activities across the mine and are always exposed to health risks such as lung cancer. With the technology advancements, it is now possible to keep track of mine individuals and their health parameters. The current practice of health analysis is periodic in nature and is highly dependent on voluntary participation. Wearable health sensing system is an alternative solution to overcome these challenges and is able to provide insights on miners' health conditions. Timely analysis of physiological parameters of the miners is immensely helpful to minimize the injuries and can also provide preventive measures for potential health hazards. In this paper, we propose a wireless health monitoring system, especially for underground mines. The contributions of this paper are twofold. First, it presents and discusses our proposed system architecture and solution followed by challenges of such system in the context of underground mines. Second, as a preliminary analysis, detailed discussion on the wireless link behavior for reliable data transmission and communication are presented. We performed real-world experimental measurements in an operational underground coal mine considering several deployment settings in straight, near face and curved mine galleries. The communication metrics (e.g., received signal strength and packet reception rate) are extensively evaluated.INDEX TERMS Health sensing, activity monitoring, underground mines, occupational health hazards, communication, data analytics, wearables in mines, artificial intelligence, miners.

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“…The accuracy of this method was not found to be high for deep-chamber blasting processes. In addition, ZigBee technology [22], [23], three-dimensional laser scanning technology, electromagnetic wave tomography (CT) technology, and ground penetrating radar (GPR) technology [24] were becoming more and more mature, which can be used for non-destructive detection of a certain depth of rock mass, but the detection accuracy of chamber blasting at depths close to or more than 100 meters is often not up to the requirements. In the absence of mature misfire detection equipment, misfire identification is usually carried out on the blasting site by combining the shape, degree of fragmentation and blasting design with engineering experience, which is subjective.…”

Section: Introductionmentioning

confidence: 99%

Detection and Recognition Method of Misfire for Chamber (Deep-Hole) Blasting Based on RFID

et al. 2019

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Deep-hole blasting and chamber blasting technology are widely used in mining and large-scale earth-rock excavation or landfill projects, due to their advantages of high efficiency and low cost. However, their use is often accompanied by misfire accidents, and generally misfire is relatively hidden, as well as difficult to quickly detect and identify, making misfire the greatest potential safety hazard in blasting construction. This paper presents a method and system of frequency division multiple access (FDMA) detection and recognition for blasting misfire, based on electromagnetic wave propagation theory and radio frequency identification technology. Next, the feasibility of frequency division multiple access (FDMA) misfire detection method is analyzed by means of theoretical deduction. Combining field and laboratory tests, it is concluded that the existence of underground misfire with a linear distance of 225 m can be detected. In addition, the detection frequency range is 975-5025 Hz, and the recognition accuracy of multi-frequency signal can reach 2 Hz. The stability of the electric detonator in an electromagnetic environment is discussed, and the danger criterion of the electric detonator in the electromagnetic environment is obtained. When the power of the signal transmitter is less than 120 W and the induction area of the electric detonation network is less than 0.5 m 2 , then the electric detonator is safe. The misfire detection and recognition system has been successfully applied in a deep-hole blasting of an open-pit quarry. It is observed that when the distance between millisecond blasting holes is equal to greater than 5 m, the detection signals between holes will not interfere with each other. This paper provides a reliable, systematic and complete research method for remote wireless detection and identification of misfire, and also provides a basis for the safety of blasting construction and misfire detection in related projects.

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Modelling an energy-efficient ZigBee (IEEE 802.15.4) body area network in IoT-based smart homes

Cited by 13 publications

References 20 publications

A Smart Game for Data Transmission and Energy Consumption in the Internet of Things

A Smart Game for Data Transmission and Energy Consumption in the Internet of Things

Opportunities and Challenges in Health Sensing for Extreme Industrial Environment: Perspectives From Underground Mines

Detection and Recognition Method of Misfire for Chamber (Deep-Hole) Blasting Based on RFID

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