An Energy Efficient Adaptive Wake-Up Radio MAC (EEAWuR-MAC) Protocol for IoT Wireless Body Area Networks

Pandey, Atul Kumar; Gupta, Nisha

doi:10.1007/s11277-021-08262-0

Cited by 12 publications

(4 citation statements)

References 27 publications

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“…The wake-up radio (WuR) approach is used in [11] to regulate priority data transmission in WBAN-based ultralowpower healthcare applications. Wearable sensors can convey data on request by transmitting a WuR message.…”

Section: Background and Related Workmentioning

confidence: 99%

An Efficient and Adaptive Superframe Structure for IEEE 802.15.7-Based Real-time Sensor Networks

Bhutani

Lall

Agrawal

2023

Preprint

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The Internet is expanding with new bandwidth-intensive applications and the network's sensor count, resulting in spectrum constraints. The IEEE 802.15.7 standard specifies optical wireless communication (OWC) as a solution as it utilizes terahertz of unlicensed spectrum, is resistant to radio frequencies, and is more secure to harness. Nevertheless, the standard does not address the adaptive data demands of sensors, nor does it consider priority data transmission, which is a crucial quality of service demand. Wireless sensors are increasingly being used in personalized medical health care, and our proposed research focuses on their delay, adaptive traffic management, and overall network throughput. We have suggested a novel superframe structure that enables adaptive sleep mode for priority data handling. The proposed superframe structure is simulated for the contention access period (CAP) as well as the contention-free period (CFP). The suggested approach works in hybrid mode, i.e., with the CSMA/CA and GTS allocation techniques. We illustrate the importance of our proposed work by comparing it to IEEE 802.15.7 in terms of delay and throughput. Across both factors, the simulation results demonstrate a significant improvement. Additionally, we have computed the collision probability in our suggested adaptive superframe structure.

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Section: Background and Related Workmentioning

confidence: 99%

An Efficient and Adaptive Superframe Structure for IEEE 802.15.7-Based Real-time Sensor Networks

Bhutani

Lall

Agrawal

2023

Preprint

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“…Furthermore, these protocols do not consider the hierarchical coexisting networks. The authors in [18] proposed an energy efficient MAC by incorporating the wake-up radio mechanism, but it requires additional hardware costs and complexity. The work in [19] analyzed the interference among coexisting WBANs by considering human mobility and traffic differentiation.…”

Section: A Prior Workmentioning

confidence: 99%

Adaptive Packet Tuning for Energy Efficient Communication in Underlay CSMA/CA Networks

Jung,

Han

2023

IEEE Access

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The demand for wireless connectivity has increased recently, driven primarily by Internet of Things (IoTs) and 6G applications. Since various wireless networks operate on an unlicensed band and coexist with upcoming IoT networks, undesired interference in IoT networks from other networks is inevitable. In addition, interference heavily affects the lifetime of IoT networks owing to their limited battery capacity. However, the interference of underlay networks in hierarchical coexisting networks has not yet been analyzed and its impact on energy efficiency remains uncharacterized. In this paper, the energy efficiency of the underlay network is statistically analyzed in the presence of interference from a coexisting overlay network. Based on our analyses, a closed-form expression for the average energy efficiency of the underlay network is derived and a packet size that maximizes the average energy efficiency is then proposed. The results of our analyses are consistent with the actual results, confirming that both the average energy efficiency of the underlay network and its optimal packet size can be readily obtained using our analyses without the need for extensive simulations. Simulation results confirmed the validity of the our statistical analyses. The simulation results demonstrate that our analyses can accurately and analytically determine the energy efficiency of the underlay network, and the proposed packet size can achieve more than 99 % of the optimal performance. The feasibility of adaptive packet tuning is also verified using actual overlay packet traces as inputs for our simulation.

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“…In [11], the wake-up radio (WuR) technique manages emergency data transmission in WBAN-based ultralowpower healthcare applications. By delivering a WuR message, the wearable sensors can relay their data ondemand.…”

Section: Background and Related Workmentioning

confidence: 99%

A novel energy-efficient adaptive superframe structure for OWC-based real-time bio-sensor networks

Bhutani,

Lall,

Agrawal

2023

Peer-to-Peer Netw. Appl.

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Biosensors are becoming more common in the health care industry, but battery life is a significant barrier to broader adoption. Another concern is that these sensors heavily rely on radio frequency technology, which is dangerous to the human body and the environment. This research presents an optical wireless communication (OWC) based battery-efficient adaptive superframe for real-time biosensors. To begin, OWC uses visible light for downlink and infrared for uplink, making it human-safe. Second, our retrofit technique makes sensor transmission delays and energy usage more efficient. Third, as we look into wearable sensors, we see that the one-of-a-kind continuous superframe structure saves energy and allows for emergency data handling via the deployment of an emergency beacon. Fourthly, we compare the simulation results to the IEEE 802.15.7 standard superframe timeline to evaluate the practicality of our suggested technique. Analytical expressions are formulated to predict and analyze end-to-end delays, average energy consumption, and savings. The results show a significant improvement in energy savings and delays without incurring any additional overheads.

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An Energy Efficient Adaptive Wake-Up Radio MAC (EEAWuR-MAC) Protocol for IoT Wireless Body Area Networks

Cited by 12 publications

References 27 publications

An Efficient and Adaptive Superframe Structure for IEEE 802.15.7-Based Real-time Sensor Networks

An Efficient and Adaptive Superframe Structure for IEEE 802.15.7-Based Real-time Sensor Networks

Adaptive Packet Tuning for Energy Efficient Communication in Underlay CSMA/CA Networks

A novel energy-efficient adaptive superframe structure for OWC-based real-time bio-sensor networks

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