Impact of linear regression on time synchronization accuracy and energy consumption for Wireless Sensor Networks

2008 ◽  
Author(s):  
Liangping Ma ◽  
Hua Zhu ◽  
Gayathri Nallamothu ◽  
Bo Ryu ◽  
Zhensheng Zhang
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Linear Regression ◽  
Time Synchronization ◽  
Wireless Sensor ◽  
Synchronization Accuracy

scholarly journals Energy Consumption Analysis of Consensus Time Synchronization Algorithms for Wireless Sensor Networks

2017 ◽  
Vol 2 (2) ◽  
Author(s):  
Niranjan Panigrahi ◽  
Pabitra Mohan Khilar
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Time Synchronization ◽  
State Of The Art ◽  
Wireless Sensor ◽  
Broad Area ◽  
Energy Consumption Analysis ◽  
Consensus Time ◽  
Synchronization Accuracy

Wireless Sensor Networks (WSNs)  have received considerable attention in recent years because of its broad area of applications. In the same breadth, it also faces many challenges. Time synchronization is one of those fundamental challenges faced by WSN being a distributed system. Several approaches have been proposed in the last decade for time synchronization in WSNs. Recently, Consensus Time Synchronization (CTS) approaches are gaining popularity due its computational lightness, robustness and distributed nature. Though a rich set of CTS algorithms are proposed, their energy consumption has so far not been studied. Apart from synchronization precision, energy consumption should also be considered meticulously for time synchronization algorithms in energy-constraint WSNs. In this paper, a thorough energy consumption analysis is presented for some recent state-of-the-art CTS algorithms for WSN and tested by simulation. The simulation results will help in selecting an appropriate CTS algorithm that meets the requirements of synchronization accuracy and energy consumption for a specific WSN application.

Research on Time Synchronization Algorithm in Wireless Sensor Networks

2011 ◽  
Vol 403-408 ◽  
pp. 1397-1400
Author(s):  
Ping Wang ◽  
Shi Wu Xu
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Time Synchronization ◽  
Wireless Sensor ◽  
Advantages And Disadvantages ◽  
Synchronization Algorithm ◽  
Lower Complexity ◽  
Reduce Energy Consumption

Time synchronization is important for many applications in Wireless Sensor Networks, how to improve synchronization precision and reduce energy consumption are the two important aspects in Wireless Sensor Networks. In this paper, first, we introduce the TPSN and DMTS algorithms, after analyzing the advantages and disadvantages of both. Make use of two algorithms have been integrated. We proposed a DMSN time synchronization algorithm. Experiments show that ,comparing with the TPSN algorithm, DMSN algorithm has lower complexity and energy consumption．It can be easily applied in Wireless Sensor Networks．

scholarly journals Implementation of ITREE-MAC Protocol for Effective Power Management and Time Synchronization in Wireless Sensor Networks

2019 ◽  
Vol 8 (12) ◽  
pp. 863-868
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Power Management ◽  
Time Synchronization ◽  
Mac Protocol ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Packet Delivery

The advent of wireless sensor networks (WSN) has led in recent revolutionary modifications in electronic and communication systems .Various applications in wireless network needs time synchronization as a basic requirement. Wireless sensor nodes are tiny in size and operated at low energy to record the required physical parameters for low-duty apps. Because nodes have a tiny battery with a lower life span, power management is crucial for long-term working with the sensors. Wireless Sensor Network is a set of sensor nodes used to send and receive data packets from one sensor node to another. This work aims to propose three protocols such as Receiver Centric MAC protocol (RC-MAC), Improved Receiver Centric MAC protocol (IRC-MAC) and Intelligent Traffic and Resource Elastic Energy MAC protocol (ITREE-MAC) for the WSN environment and based on the application. These protocols help in studying the parametric measures such as delay, energy consumption, packet delivery ratio and throughput. The comparative analysis is carried out to select the more efficient protocol for the application of wireless sensor networks. This research work is implemented and simulated by using NS 2.35 Simulator. Based on the simulation results obtained for proposed protocols using the NS2 simulator. The performance of ITREE-MAC protocol shows better results for parameters end to end delay, energy consumption, throughput, packet delivery ratio. So the overall performance of ITREE-MAC protocol is much better than other three IEEE802.11 MAC, RC-MAC and IRC-MAC protocols. As per results obtained, energy consumption is less in ITREE-MAC protocol and save the power in wireless sensor network applications

scholarly journals Time Synchronized High Performing Cluster-Based Routing Algorithm for Wireless Sensor Networks

2013 ◽  
Vol 5 (11) ◽  
pp. 561-567
Author(s):  
Huifang DENG
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Data Fusion ◽  
Total Energy ◽  
Time Synchronization ◽  
Routing Algorithm ◽  
Wireless Sensor ◽  
Synchronization Algorithm ◽  
Simulation Results

In this paper, we investigated the data fusion routing algorithm and the time synchronization algorithm for the wireless sensor networks. First, we proposed a new data fusion routing algorithm - Low Energy Consumption Cluster-Based Routing Algorithm (LECCBRA). Simulation results show that the total energy can be effectively saved, and the balance in energy consumption between clusters can be achieved with LECCBRA, thus the network lifetime is extended. Second, we proposed a time synchronization algorithm - Clustering-based Time Synchronization (CBTS), which is suitable for LECCBRA. Performance analysis and simulation results show that the total energy can be effectively saved, and the accuracy can be improved.

scholarly journals Time Synchronization Algorithm for Wireless Sensor Networks Based on Frequency Offset Estimation

2018 ◽  
Vol 14 (06) ◽  
pp. 71
Author(s):  
Shaojun Yu ◽  
Li Lin ◽  
Yujian Wang ◽  
Xingyuan Chen
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Time Synchronization ◽  
Estimation Method ◽  
Frequency Offset ◽  
Wireless Sensor ◽  
Frequency Offset Estimation ◽  
Dynamic Adjustment ◽  
Synchronization Algorithm ◽  
Synchronization Accuracy

<p class="0abstract"><span lang="EN-US">A</span><span lang="EN-US">iming at solving the poor</span><span lang="EN-US"> the classical synchronous algorithm stability in wireless sensor network</span><span lang="EN-US"> and high overhead of </span><span lang="EN-US">clock phase offset and frequency offset</span><span lang="EN-US">, </span><span lang="EN-US">a synchronization algorithm (CSMS algorithm) was designed for wireless sensor networks based on frequency offset estimation. The CSMS algorithm used the low overhead phase bias and frequency offset estimation method to improve the synchronization accuracy and stability of the pair nodes. At the same time, a synchronization strategy was built based on layering and broadcast monitoring, which ensured the stability and synchronization accuracy of the algorithm, realized the synchronization with neighbor nodes and root nodes, and optimized the total synchronization cost. Among them, the CSMS algorithm was mainly divided into two stages: level discovery phase, </span><span lang="EN-US">which was used</span><span lang="EN-US"> for generating a layered structure of network; synchronization </span><span lang="EN-US">phase, used to estimate c</span><span lang="EN-US">lock offset and frequency </span><span lang="EN-US">offset between</span><span lang="EN-US"> pairs of nodes</span><span lang="EN-US">.</span><span lang="EN-US"> The experimental results showed that the CSMS algorithm can effectively balance the synchronization energy</span><span lang="EN-US"> consumption</span><span lang="EN-US">, synchronization accuracy and synchronization stability. </span><span lang="EN-US">As a result, it is summed up that </span><span lang="EN-US">dynamic adjustment of the nodes clock deviation</span><span lang="EN-US"> is realized</span><span lang="EN-US">, the long-term stability of synchronization</span><span lang="EN-US"> is ensured</span><span lang="EN-US">, </span><span lang="EN-US">and </span><span lang="EN-US">the precision of synchronization</span><span lang="EN-US"> is improved</span><span lang="EN-US">. </span></p>

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

Sensors ◽  
2020 ◽  
Vol 20 (15) ◽  
pp. 4095
Author(s):  
Mahmoud Elsharief ◽  
Mohamed A. Abd El-Gawad ◽  
Haneul Ko ◽  
Sangheon Pack
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Time Synchronization ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Industrial Wireless Sensor Networks ◽  
Node Selection ◽  
Reference Node

Time synchronization is an essential issue in industrial wireless sensor networks (IWSNs). It assists perfect coordinated communications among the sensor nodes to preserve battery power. Generally, time synchronization in IWSNs has two major aspects of energy consumption and accuracy. In the literature, the energy consumption has not received much attention in contrast to the accuracy. In this paper, focusing on the energy consumption aspect, we introduce an energy-efficient reference node selection (EERS) algorithm for time synchronization in IWSNs. It selects and schedules a minimal sequence of connected reference nodes that are responsible for spreading timing messages. EERS achieves energy consumption synchronization by reducing the number of transmitted messages among the sensor nodes. To evaluate the performance of EERS, we conducted extensive experiments with Arduino Nano RF sensors and revealed that EERS achieves considerably fewer messages than previous techniques, robust time synchronization (R-Sync), fast scheduling and accurate drift compensation for time synchronization (FADS), and low power scheduling for time synchronization protocols (LPSS). In addition, simulation results for a large sensor network of 450 nodes demonstrate that EERS reduces the whole number of transmitted messages by 52%, 30%, and 13% compared to R-Sync, FADS, and LPSS, respectively.

scholarly journals Optimal Message Bundling with Delay and Synchronization Constraints in Wireless Sensor Networks

Sensors ◽  
2019 ◽  
Vol 19 (18) ◽  
pp. 4027 ◽  
Author(s):  
Xintao Huan ◽  
Kyeong Soo Kim ◽  
Sanghyuk Lee ◽  
Moon Keun Kim
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Time Synchronization ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
End To End Delay ◽  
End To End ◽  
Optimal Approach ◽  
Synchronization Accuracy

Energy efficiency and end-to-end delay are two of the major requirements for the monitoring and detection applications based on resource-constrained wireless sensor networks (WSNs). As new advanced technologies for accurate monitoring and detection—such as device-free wireless sensing schemes for human activity and gesture recognition—have been developed, time synchronization accuracy becomes an important requirement for those WSN applications too. Message bundling is considered one of the effective methods to reduce the energy consumption for message transmissions in WSNs, but bundling more messages increases the transmission interval of bundled messages and thereby their end-to-end delays; the end-to-end delays need to be maintained within a certain value for time-sensitive applications like factory monitoring and disaster prevention, while the message transmission interval affects time synchronization accuracy when the bundling includes synchronization messages as well. Taking as an example a novel WSN time synchronization scheme recently proposed for energy efficiency, we investigate an optimal approach for message bundling to reduce the number of message transmissions while maintaining the user-defined requirements on end-to-end delay and time synchronization accuracy. Formulating the optimal message bundling problem as integer linear programming, we compute a set of optimal bundling numbers for the sensor nodes to constrain their link-level delays, thereby achieving and maintaining the required end-to-end delay and synchronization accuracy. Extensive experimental results based on a real WSN testbed using TelosB sensor nodes demonstrate that the proposed optimal bundling could reduce the number of message transmissions about 70% while simultaneously maintaining the required end-to-end delay and time synchronization accuracy.

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