Device and operation mechanism for non-beacon IEEE802.15.4/Zigbee nodes running on harvested energy

Amaro, J. Pedro; Cortesão, Rui; Ferreira, Fernando J. T. E.; Landeck, Jorge

doi:10.1016/j.adhoc.2014.10.016

Cited by 4 publications

(2 citation statements)

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“…Coupling the low power required by a ZigBee transmission with recent developments in the field of energy harvesting, it is now possible to develop battery-less Internet of Things (IoT) nodes [33,34]. However, powering the ZigBee protocol tasks for prolonged periods of time (i.e., >10 s) with energy harvesters is not recommended [35]. Some advanced functions (e.g., localization or identification [36]), useful in smart home systems conceived for the continuous monitoring of the individual and for behavioral analysis, can be prevented.…”

Section: Introductionmentioning

confidence: 99%

A Plug and Play IoT Wi-Fi Smart Home System for Human Monitoring

2018

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The trend toward technology ubiquity in human life is constantly increasing and the same tendency is clear in all technologies aimed at human monitoring. In this framework, several smart home system architectures have been presented in literature, realized by combining sensors, home servers, and online platforms. In this paper, a new system architecture suitable for human monitoring based on Wi-Fi connectivity is introduced. The proposed solution lowers costs and implementation burden by using the Internet connection that leans on standard home modem-routers, already present normally in the homes, and reducing the need for range extenders thanks to the long range of the Wi-Fi signal. Since the main drawback of the Wi-Fi implementation is the high energy drain, low power design strategies have been considered to provide each battery-powered sensor with a lifetime suitable for a consumer application. Moreover, in order to consider the higher consumption arising in the case of the Wi-Fi/Internet connectivity loss, dedicated operating cycles have been introduced obtaining an energy savings of up to 91%. Performance was evaluated: in order to validate the use of the system as a hardware platform for behavioral services, an activity profile of a user for two months in a real context has been extracted.

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Section: Introductionmentioning

confidence: 99%

A Plug and Play IoT Wi-Fi Smart Home System for Human Monitoring

2018

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“…WPN is embedded in the controlling system of the construction hoist and transfers the message between floors and the elevator. WPN is a ZigBeebased WSN [8][9][10] which employs IEEE 802.15.4 protocol. However, as in a WSN, the nodes in WPN also contain several technical challenging issues.…”

Section: Introductionmentioning

confidence: 99%

A wireless paging network with load-balancing equal opportunity routing in high-rise building construction

Yang

Liang

2018

International Journal of Distributed Sensor Networks

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The energy consumption of nodes is strictly limited in wireless sensor networks. The traditional direct delivery routing protocol is employed in the paging network of high-rise building construction elevators, which results in the high energy consumption and low successful delivery rate. A load-balancing equal opportunity routing protocol for wireless paging network is proposed in this work. The load-balancing equal opportunity routing protocol is a data transfer technique which maintains the network survivability by selecting the optimal path with both the lower energy consumption and the balanced network load. A load-balancing scheme gives equal opportunities for package transmission. A pager node delivers the packages by selecting a neighbor node with higher energy. The neighbor nodes in the coverage of the source node have an equal opportunity for routing. The sink node in the paging network broadcasts routing messages when moving along the track during the path selecting. The proposed load-balancing equal opportunity routing protocol is implemented and evaluated in a high-rise building construction elevator. The experimental results show that the average energy consumption of nodes is lowered with a balanced network load. It is estimated that successful delivery rate is increased by 55% but with a higher latency, and the network lifetime is prolonged.

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Wireless temperature sensor network based on DS18B20, CC2420, MCU AT89S52

Xiong¹

2015

2015 IEEE International Conference on Communication Software and Networks (ICCSN)

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Device and operation mechanism for non-beacon IEEE802.15.4/Zigbee nodes running on harvested energy

Cited by 4 publications

References 50 publications

A Plug and Play IoT Wi-Fi Smart Home System for Human Monitoring

A Plug and Play IoT Wi-Fi Smart Home System for Human Monitoring

A wireless paging network with load-balancing equal opportunity routing in high-rise building construction

Wireless temperature sensor network based on DS18B20, CC2420, MCU AT89S52

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