The Mechanism and Performance Comparison of Two Wireless Sensor Network Operating System Kernels

2009 ◽  
Author(s):  
Jialiang Wang ◽  
Hai Zhao ◽  
Peng Li ◽  
Zheng Liu ◽  
Jie Zhao ◽  
...  
Keyword(s):  
Operating System ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Performance Comparison ◽  
Wireless Sensor ◽  
And Performance ◽  
Operating System Kernels

scholarly journals Time Synchronization and Communication Program of Wireless Sensor Network for Online Monitoring of Electrical Equipment

2017 ◽  
Vol 13 (07) ◽  
pp. 36
Author(s):  
Yuxia Shen
Keyword(s):  
Operating System ◽  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Online Monitoring ◽  
Time Synchronization ◽  
Electrical Equipment ◽  
Wireless Sensor ◽  
Zigbee Protocol

<p><span style="font-size: medium;"><span style="font-family: 宋体;">In wireless sensor networks, for improving the time synchronization perfromance of online monitoring and application of ZigBee protocol, a scheme is designed. For this objective, first of all, the ZigBee protocol specification is summarized, a profound analysis of the hardware abstraction architecture of TinyOS operating system is made; the advantages of the ZigBee protocol compared with the traditional radio technology are comparatively analyzed. At the same time, the node design block diagram based on CC2430 and related development system is provided. In the TinyOS2.x operating system, we analyze CC2430 application program abstract architecture, and on this basis, give the realization process of program design. The research results showed that we achieve an on-line monitoring system based on ZigBee protocol, which has realistic significance of applying ZigBee protocol in wireless sensor network of electrical equipment online monitoring. Based on the above research, it is concluded that the online monitoring system can collect the temperature parameters of the monitored object in real time that it can be widely applied in wireless sensor networks.</span></span></p>

scholarly journals A secure dynamic adaptive routing technique using game theory in wireless sensor network

2018 ◽  
Vol 7 (2) ◽  
pp. 768
Author(s):  
Muruganandam. A ◽  
Anitha. R
Keyword(s):  
Game Theory ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Data Security ◽  
Wireless Sensor ◽  
Wireless Data ◽  
End To End Delay ◽  
And Performance ◽  
Secured Communication ◽  
Significant Concentration

A Wireless Sensor Network (WSNs) is popular developing the field in industrial and other major markets. Wireless data security is the central theme in the WSNs application where security of transmitted data is more concerned. Due to the significant concentration of energy efficiency and performance analysis in WSN, providing secured communication is a challenging issue. To overcome this interdependent problem Game theory can be used. Game theory is applied here to select different routes to transfer the data from source to destination. The performance of the WSNs can be increased by providing security for transmitted data. The graph for throughput, end to end delay, delivery, and packet loss ratio are generated using NS2 simulation tool.

Implementation of Fuzzy Based Simulation for Clone Detection in Wireless Sensor Networks

2016 ◽  
Vol 6 (4) ◽  
pp. 1570
Author(s):  
Manjunatha R C ◽  
Rekha K R ◽  
Nataraj K R
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Clone Detection ◽  
Storage Overhead ◽  
And Performance ◽  
And Storage ◽  
Compromised Nodes

<p>Wireless sensor networks are usually left unattended and serve hostile environment, therefore can easily be compromised. With compromised nodes an attacker can conduct several inside and outside attacks. Node replication attack is one of them which can cause severe damage to wireless sensor network if left undetected. This paper presents fuzzy based simulation framework for detection and revocation of compromised nodes in wireless sensor network. Our proposed scheme uses PDR statistics and neighbor reports to determine the probability of a cluster being compromised. Nodes in compromised cluster are then revoked and software attestation is performed.Simulation is carried out on MATLAB 2010a and performance of proposed scheme is compared with conventional algorithms on the basis of communication and storage overhead. Simulation results show that proposed scheme require less communication and storage overhead than conventional algorithms.</p>

Implementation of Fuzzy Based Simulation for Clone Detection in Wireless Sensor Networks

2016 ◽  
Vol 6 (4) ◽  
pp. 1570
Author(s):  
Manjunatha R C ◽  
Rekha K R ◽  
Nataraj K R
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Clone Detection ◽  
Storage Overhead ◽  
And Performance ◽  
And Storage ◽  
Compromised Nodes

<p>Wireless sensor networks are usually left unattended and serve hostile environment, therefore can easily be compromised. With compromised nodes an attacker can conduct several inside and outside attacks. Node replication attack is one of them which can cause severe damage to wireless sensor network if left undetected. This paper presents fuzzy based simulation framework for detection and revocation of compromised nodes in wireless sensor network. Our proposed scheme uses PDR statistics and neighbor reports to determine the probability of a cluster being compromised. Nodes in compromised cluster are then revoked and software attestation is performed.Simulation is carried out on MATLAB 2010a and performance of proposed scheme is compared with conventional algorithms on the basis of communication and storage overhead. Simulation results show that proposed scheme require less communication and storage overhead than conventional algorithms.</p>

Sign in / Sign up

Export Citation Format

Share Document