ZigBee-Assisted Power Saving Management for Mobile Devices

Qin, Hua; Zhang, Wensheng

doi:10.1109/tmc.2013.67

Cited by 30 publications

(6 citation statements)

References 16 publications

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“…Smart sensor systems [ 17 ] and wireless communications [ 18 ] —including digital technologies, low‐power microprocessors and microcontrollers, [ 19,20 ] passive and active radio‐frequency identification (RFID) tags, [ 21 ] wireless sensors, and ZigBee [ 22 ] and Bluetooth low‐energy (BLE) [ 23 ] wireless communication technologies—are playing a key a role in the global development of the IoT, leading to the proliferation of sensor‐rich portable devices. Such sensor‐rich devices, combined with or used complementarily with an infrastructure‐based computation substrate (e.g., the cloud), leverage mobility and processing power of the end‐users to enhance their ability to sense, compute, and communicate even in the absence of reliable end‐to‐end connectivity.…”

Section: The Need For Sustainable and Autonomous Iot Devicesmentioning

confidence: 99%

Emerging Indoor Photovoltaic Technologies for Sustainable Internet of Things

Pecunia

Occhipinti

Hoye

2021

Advanced Energy Materials

172

187

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The Internet of Things (IoT) provides everyday objects and environments with “intelligence” and data connectivity to improve quality of life and the efficiency of a wide range of human activities. However, the ongoing exponential growth of the IoT device ecosystem—up to tens of billions of units to date—poses a challenge regarding how to power such devices. This Progress Report discusses how energy harvesting can address this challenge. It then discusses how indoor photovoltaics (IPV) constitutes an attractive energy harvesting solution, given its deployability, reliability, and power density. For IPV to provide an eco‐friendly route to powering IoT devices, it is crucial that its underlying materials and fabrication processes are low‐toxicity and not harmful to the environment over the product life cycle. A range of IPV technologies—both incumbent and emerging—developed to date is discussed, with an emphasis on their environmental sustainability. Finally, IPV based on emerging lead‐free perovskite‐inspired absorbers are examined, highlighting their status and prospects for low‐cost, durable, and efficient energy harvesting that is not harmful to the end user and environment. By examining emerging avenues for eco‐friendly IPV, timely insight is provided into promising directions toward IPV that can sustainably power the IoT revolution.

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Section: The Need For Sustainable and Autonomous Iot Devicesmentioning

confidence: 99%

Emerging Indoor Photovoltaic Technologies for Sustainable Internet of Things

Pecunia

Occhipinti

Hoye

2021

Advanced Energy Materials

172

187

View full text Add to dashboard Cite

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“…In addition, it has been more and more popular for a mobile device to have both WiFi and other low‐power wireless interfaces such as Bluetooth and ZigBee, Qin and Zhang 29 propose a ZigBee‐assisted power saving management (ZPSM) scheme, leveraging the ZigBee interface to wake up WiFi interface on demand to improve energy efficiency without violating delay requirements.…”

Section: Related Workmentioning

confidence: 99%

Adaptive energy saving algorithms for Internet of Things devices integrating end and edge strategies

Wang

Yang

Wan

et al. 2020

Trans Emerging Tel Tech

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By taking into account not only the node specifics but also the benefits of mobile edge computing, an integrated strategy for energy saving of Internet of Things (IoT) devices is proposed in this article. This strategy consists of two algorithms at both the end and the edge. Considering the changeable battery level and downlink communication traffic of the battery‐powered wireless nodes, an energy efficient automatic mode switching algorithm is designed at the end. Three different kinds of working modes are designed based on the features of the end nodes and the various application requirements. This algorithm tends to enable the end nodes to automatically select and switch to the proper working mode according to the actual conditions. At the edge server with much stronger processing and computing capabilities which belongs to a higher layer, the dynamic sampling rate adjustment algorithm is designed. It can adaptively adjust the sampling frequencies of the end nodes and thus reduce their working durations. The proposed integrated solution aims to decrease the energy consumption of IoT devices as much as possible and thus prolong their battery lives. The simulation results have shown both the effectiveness and the efficiency of the proposed end and edge integrated strategy in terms of energy consumption.

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“…WiZi-Cloud protocols [30] were proposed to use WiFi and ZigBee radios on mobile phones and APs to achieve ubiquitous connectivity, high energy efficiency, real time intra-device/inter-AP handover. ZigBeeassisted power saving management [31] was proposed to leverage the ZigBee interface to wake up WiFi interface of clients on demand to improve energy efficiency without violating delay requirement. Besides for infrastructure WLANs, a new power management protocol, called Z-WiFi, was proposed in [16] to use the ZigBee interface to improve throughput and energy efficiency for ad hoc networks.…”

Section: Impact Of Packet Arrival Modelmentioning

confidence: 99%

ZigBee-Assisted Power Saving for More Efficient and Sustainable Ad Hoc Networks

Qin

Zhang

2013

IEEE Trans. Wireless Commun.

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In emergency situations, infrastructure-based wireless access networks (e.g., WLANs, cellular networks) may collapse due to power outage or infrastructure damages. To enable responsive communication for rescue operations, wireless ad hoc networks may be set up. However, due to limited battery capacity, the networks may not sustain long enough, especially when stringent communication delay is demanded. Aimed at energy efficiency, the Power Saving Management (PSM) for IEEE 802.11 DCF has been standardized and can be applied in multi-hop ad hoc networks. With PSM, however, it is difficult to achieve high energy efficiency and low delay simultaneously when data traffic is unpredictable. Motivated by the trend that low-power ZigBee interface will be more and more commonly embedded in mobile devices together with WiFi interface in the near future, we propose a ZigBee-assisted PSM (called ZPSM) for DCF, which leverages ZigBee interfaces to wake up WiFi interfaces on demand to reduce WiFi interfaces' energy consumption and thus prolong network lifetime, while satisfying delay requirements. The results of extensive simulation and prototype-based experiments have verified the performance advantages of ZPSM.Index Terms-ZigBee, WiFi, power saving, ad hoc networks.

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ZigBee-Assisted Power Saving Management for Mobile Devices

Cited by 30 publications

References 16 publications

Emerging Indoor Photovoltaic Technologies for Sustainable Internet of Things

Emerging Indoor Photovoltaic Technologies for Sustainable Internet of Things

Adaptive energy saving algorithms for Internet of Things devices integrating end and edge strategies

ZigBee-Assisted Power Saving for More Efficient and Sustainable Ad Hoc Networks

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