scholarly journals Empirical Model Development for Message Delay and Drop in Wireless Sensor Networks

2014 ◽  
Vol 36 ◽  
pp. 353-358 ◽  
Author(s):  
Gursel Serpen ◽  
Zhenning Gao
Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 3020 ◽  
Author(s):  
Linh-An Phan ◽  
Taejoon Kim ◽  
Taehong Kim ◽  
JaeSeang Lee ◽  
Jae-Hyun Ham

The time synchronization protocol is indispensable in various applications of wireless sensor networks, such as scheduling, monitoring, and tracking. Numerous protocols and algorithms have been proposed in recent decades, and many of them provide micro-scale resolutions. However, designing and implementing a time synchronization protocol in a practical wireless network is very challenging compared to implementation in a wired network; this is because its performance can be deteriorated significantly by many factors, including hardware quality, message delay jitter, ambient environment, and network topology. In this study, we measure the performance of the Flooding Time Synchronization Protocol (FTSP) and Gradient Time Synchronization Protocol (GTSP) in terms of practical network conditions, such as message delay jitter, synchronization period, network topology, and packet loss. This study provides insights into the operation and optimization of time synchronization protocols. In addition, the performance evaluation identifies that FTSP is highly affected by message delay jitter due to error accumulation over multi-hops. We demonstrate that the proposed extended version of the FTSP (E-FTSP) alleviates the effect of message delay jitter and enhances the overall performance of FTSP in terms of error, time, and other factors.


Author(s):  
Aleksejs Jurenoks ◽  
Leonids Novickis

<p class="R-AbstractKeywords"><span lang="EN-US">In the recent years low power computing systems have gained popularity.  Networks, which use low power computer systems and transmitted data by using wireless connection are called wireless sensor networks, which  main task is to get the information from sensors and transmission network. Nowadays, the most topical researches pertaining to wireless sensor networks are grounded on the  new optimization of structure of network transmission protocol, the routing optimization in transmission network, optimization of network structure, as a result of which the life circle of wireless network sensors is possible to increase. In the present article the methodology for determining the life circle of network is discussed. The approaches in detection of life circle pertaining to the important network nodes are described.</span></p>


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