Internet of Things-oriented Wireless Sensor Networks Review

Qian, Zhihong; Wang, Yijun

doi:10.3724/sp.j.1146.2012.00876

Cited by 61 publications

(34 citation statements)

References 0 publications

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“…On the other hand, wireless communication mode is popular in power system communication for its fast deployment, low cost and expandability. With the progress of technologies of micro-electronics, computer technology and wireless communication, WSNs are made available in the wireless communication field (Qian and Wang, 2013). Localisation technology is one of the key technologies in WSNs (Yu and Dan, 2011).…”

Section: Introductionmentioning

confidence: 99%

Node localisation for wireless sensor networks in smart distribution automation

Zhang

et al. 2017

IJSNET

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Wireless sensor networks (WSN) are expected to be used to significantly improve the flexibility and expansibility of power distribution networks. In a WSN enabled power distribution network, the accuracy and energy consumption of node localisation can critically affect the stability of a power distribution network. In this paper, a triangle-based localisation algorithm (TBLA) is proposed to improves the traditional midnormal-based localisation algorithm (MBLA) to satisfy the communication requirements of the smart distribution automation. The proposed algorithm constructs a triangle by connecting two anchor nodes that position as one side, and then uses the RSSI (Received Signal Strength Indication) ranging value between two anchor nodes and the unknown node as the other two sides. Compared with MBLA, the simulation results reveal that, TBLA has significantly improved the precision of node localisation precision. Meanwhile, the average iterations are reduced by half, decreasing the energy consumption of the entire power distribution network significantly.

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Section: Introductionmentioning

confidence: 99%

Node localisation for wireless sensor networks in smart distribution automation

Zhang

et al. 2017

IJSNET

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“…Using the wireless sensor network can effectively reduce the human consumption and the impact on the farmland environment, and get accurate crop environment and crop information. Then farmers can monitor farmland information without leaving home through using various kinds of automatic intelligent and remote control production equipment [18,19]. It will implement the scientific monitoring and scientific planting, and promote modern agriculture to change its way of the development.…”

Section: Introductionmentioning

confidence: 99%

The Actuality of Agriculture Internet of Things for Applying and Popularizing in China

Zhang¹,

Li²,

Yu³

et al. 2015

Proceedings of the 2015 International Conference on Advances in Mechanical Engineering and Industrial Informatics

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Abstract. With the development of global economic integration and information technology, the IOT technology has wide attention from all sectors of society, as the government also attaches great importance to the research and development of the Internet of things, and now its research and development has already penetrated into the social from all walks of life. At the same time, the application of the Internet of things in agricultural production is increasingly wide. It expounds the concept, system structure and characteristics of agricultural Internet of things. And it emphatically analyses the problems that are existent in the process of application and popularizing of the agricultural IOT.

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“…However, with the advantage of wireless sensor networks (WSNs) technology and the emergence of all kinds of real-time oil and gas detection sensors, which have laid the technical foundations for WSN technology applications in early oil spills monitoring of marine environment particularly. The WSN arranged easily and with strong scalability, can be used in unmanned environment through ad hoc networks to complete tasks such as large-scale collection of information for a long time [3,4]. By referring to the literatures, we found that the WSNs technology has used in environmental monitoring.…”

Section: Introductionmentioning

confidence: 99%