RSSI Based Indoor Position Monitoring Using WSN in a Home Automation Application

Elango, S; Mathivanan, N.; Gupta, Pankaj

doi:10.2478/v10198-011-0036-5

Cited by 10 publications

(4 citation statements)

References 6 publications

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“…The network monitor can monitor the network flow of the client in real time, analyzing each data packet and thus obtaining the protocol type,the source port,the target address and the length of the packet for each data packet [10].…”

Section: Implementation Of Network Monitormentioning

confidence: 99%

Research on Socket Communication System Based on Zigbee Wireless Sensor Network

Wang¹,

Jia²

2017

Proceedings of the 7th International Conference on Computer Engineering and Networks — PoS(CENet2017)

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The data of temperature and humidity inside and outside the building is important forbuilding energy consumption analysis. Obtaining, storing and monitoring these data in a timely, accurate and efficient way is of great significance for reducing energy consumption of buildings and achieving sustainable development.The temperature and humidity data collected through the Wireless Sensor Network(WSNs) based on the ZigBee protocol is stored in the SQLCE embedded database of the base station.A remote user is connected to the base station to obtain data., To realize the real-time communication, Internet communication is the most efficient way. Therefore we developed a wireless sensor network remote monitoring system based on Socket network programming. The research group developed a wireless sensor network system as the hardware platform under theVisual Studio 2005 development environment. They combined the technology development of embedded database SQLCE with Sockets socket. C# programming language is utilized to achieve real-time display of wireless sensor network data remote computer storage and query functions. This research has important practical significance for real-time data sharing based on wireless sensor network technology. Furthermore, it can reduce building energy consumption and broaden the application areas of wireless sensor networks as well.

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Section: Implementation Of Network Monitormentioning

confidence: 99%

Research on Socket Communication System Based on Zigbee Wireless Sensor Network

Wang¹,

Jia²

2017

Proceedings of the 7th International Conference on Computer Engineering and Networks — PoS(CENet2017)

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“…WSNs also gain much popularity in many applications because of their cost-effective nature. Such applications include military applications [8,9], civil process monitoring [10,11], habitat environment monitoring [12][13][14], health applications [15], home automation [16,17], and vehicular networks [18]. Hence, WSNs provide a new way for proactive computing by getting real-time data from the physical environment.…”

Section: Introductionmentioning

confidence: 99%

V2X-Based Mobile Localization in 3D Wireless Sensor Network

Javed

Tang

Shaukat

et al. 2021

Security and Communication Networks

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In a wireless sensor network (WSN), node localization is a key requirement for many applications. The concept of mobile anchor-based localization is not a new concept; however, the localization of mobile anchor nodes gains much attention with the advancement in the Internet of Things (IoT) and electronic industry. In this paper, we present a range-free localization algorithm for sensors in a three-dimensional (3D) wireless sensor networks based on flying anchors. The nature of the algorithm is also suitable for vehicle localization as we are using the setup much similar to vehicle-to-infrastructure- (V2I-) based positioning algorithm. A multilayer C-shaped trajectory is chosen for the random walk of mobile anchor nodes equipped with a Global Positioning System (GPS) and broadcasts its location information over the sensing space. The mobile anchor nodes keep transmitting the beacon along with their position information to unknown nodes and select three further anchor nodes to form a triangle. The distance is then computed by the link quality induction against each anchor node that uses the centroid-based formula to compute the localization error. The simulation shows that the average localization error of our proposed system is 1.4 m with a standard deviation of 1.21 m. The geometrical computation of localization eliminated the use of extra hardware that avoids any direct communication between the sensors and is applicable for all types of network topologies.

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“…Wireless sensor networks (WSN) have been extensively used in applications such as health monitoring [1,2], home automation [3], auto mobile monitoring [4], green house monitoring [5], etc. WSN are also used in environmental monitoring [6].…”

Section: Introductionmentioning

confidence: 99%