EERS: Energy-Efficient Reference Node Selection Algorithm for Synchronization in Industrial Wireless Sensor Networks

El-Sharief, Mahmoud A.; El-Gawad, Mohamed A. Abd; Ko, Haneul; Pack, Sangheon

doi:10.3390/s20154095

Cited by 12 publications

(9 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The interconnected nodes will form a WSN architecture, as shown in Fig. 2 [11][12][13][14][15]. Each node is labeled as an SSID (Service Set Identifier) according to its predetermined location.…”

Section: Methodsmentioning

confidence: 99%

Temperature and Humidity Optimization of Air Conditioner for Saving Electrical Energy Using Wireless Sensor Network Method

Pramono¹,

Zainuri²,

Purnomo³

2021

International Journal on Advanced Science, Engineering and Information Technology

View full text Add to dashboard Cite

The consumption of electrical energy from year to year continues to increase. This is caused by the use of electrical energy and electrical equipment that inefficient. Hence, it is necessary to make efforts to save electricity efficiently. One of the efforts that have been made is research on the PPC (Programmable Power Controller) which functions as a controller for the use of electrical energy in the AC (Air Conditioner) device. Optimization of AC is also an effort to save electrical energy. This research focuses on technological efforts in the form of a room condition monitoring system design (temperature and humidity monitoring), AC mode setting scenarios, and room characterization for efficient use of electrical energy using the WSN (Wireless Sensor Network) method. The performance of the WSN sensor node as a monitoring device for room conditions which includes temperature and humidity has been successfully created using a temperature sensor, humidity sensor, signal conditioning circuit, and a programmed microcontroller. WSN sensor node results show that the DHT21 temperature and humidity sensor, which has a temperature range is 15°C-90°C, minimum humidity of 20% RH, and a maximum of 90% RH, testing works well. Meanwhile, the average time needed to carry out the node selection process until it is connected to the selected node when there is a default node, and no default node is 9.068 seconds and 9.968 seconds. Moreover, the implementation result of this device in the room area is in general, during working hours from 09:00 to 17:00, humidity conditions range from 30% -75%, and temperatures range from 20°C -40°C close to normal limits according to ASHRAE standard 55. In the next research, we focus on using the WSN relay to completely aim the function of the WSN sensor as a tool to reduce the electrical energy for monitoring and controlling the temperature and humidity AC.

show abstract

Section: Methodsmentioning

confidence: 99%

Temperature and Humidity Optimization of Air Conditioner for Saving Electrical Energy Using Wireless Sensor Network Method

Pramono¹,

Zainuri²,

Purnomo³

2021

International Journal on Advanced Science, Engineering and Information Technology

View full text Add to dashboard Cite

show abstract

“…To reduce the battery power consumption and increase the battery lifetime, sensor nodes switch between active and sleep modes. To wake up sensor nodes at a predetermined time, most of them require time synchronization [3,4]. Sensor nodes, as a result, require trust and reliable synchronization [5].…”

Section: Introductionmentioning

confidence: 99%

“…Generally, time synchronization in IoT sensor nodes has two main problems: (1) communication overhead, which can be represented by the number of transmitted messages, and (2) accuracy. Both of these problems lead to a significant rise in power consumption [4,9].…”

Section: Introductionmentioning

confidence: 99%

“…These protocols have been developed to synchronize all nodes in large networks [11]. The majority of these protocols aimed to enhance synchronization accuracy at the expense of higher communication overhead [2,4]. On the other hand, there are a few proposed protocols that are interested in reducing power consumption by reducing overhead connections [4,9].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

LPSRS: Low-Power Multi-Hop Synchronization Based on Reference Node Scheduling for Internet of Things

El-Sharief

El-Gawad

et al. 2022

Energies

Self Cite

View full text Add to dashboard Cite

Time synchronization is one of the most fundamental problems on the internet of things (IoT). The IoT requires low power and an efficient synchronization protocol to minimize power consumption and conserve battery power. This paper introduces an efficient method for time synchronization in the IoT called low-power multi-hop synchronization (LPSRS). It employs a reference node scheduling mechanism to avoid packet collisions and minimize the communication overhead, which has a big impact on power consumption. The performance of LPSRS has been evaluated and compared to previous synchronization methods, HRTS and R-Sync, via real hardware networks and simulations. The results show that LPSRS achieves a better performance in terms of power consumption (transmitted messages). In particular, for a large network of 450 nodes, LPSRS reduced the total number of transmitted messages by 53% and 49% compared to HRTS and R-Sync, respectively.

show abstract

“…1 Every node is capable of certain computing ability, radio communication, and sensing capability and cooperates in order to track the field, guide direction, and fuse information. 2 WSNs have been applied to many scenarios, such as industry, 3 indoor positioning, 4 and environmental monitoring. 5 Synchronization of time references into different sensor nodes is a prerequisite condition for many of these applications.…”

Section: Introductionmentioning

confidence: 99%

Research on time synchronization of linear pulse-coupled oscillators model with delay in nearest neighbor wireless multi-hop networks

Cui

Cao

et al. 2021

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

Time synchronicity works as a popular requirement in wireless sensor networks. Pulse-coupled oscillators similar to firefly flashing and synchronization via discrete pulse coupling are widely used in wireless sensor networks. In this article, we have studied the time synchronization with communication delay in the nearest neighbor network of distributed sensors, based on the pulse-coupled oscillators model of synchronicity achieved by biological systems. First, we present a linear pulse-coupled oscillators model with coupling delay and the model is used to analyze the wireless sensor networks synchronization with communication delay. Second, we mathematically analyze the firing behaviors in the linear pulse-coupled oscillators network using the delayed excitatory coupling and track the synchronization process of the two and multi-oscillators and obtain the synchronization conditions from the regression mapping. Finally, through the proposed model implementation in the wireless sensor networks simulation framework, we demonstrate that the multi-oscillators system can be synchronized from a random starting stage distribution under linear phase responding functions and the nearest neighbor communication. The results show that our approach can achieve clock synchronization in wireless sensor networks with delayed nearest neighbor communication.

show abstract

EERS: Energy-Efficient Reference Node Selection Algorithm for Synchronization in Industrial Wireless Sensor Networks

Cited by 12 publications

References 30 publications

Temperature and Humidity Optimization of Air Conditioner for Saving Electrical Energy Using Wireless Sensor Network Method

Temperature and Humidity Optimization of Air Conditioner for Saving Electrical Energy Using Wireless Sensor Network Method

LPSRS: Low-Power Multi-Hop Synchronization Based on Reference Node Scheduling for Internet of Things

Research on time synchronization of linear pulse-coupled oscillators model with delay in nearest neighbor wireless multi-hop networks

Contact Info

Product

Resources

About