Trust aware node scheduling protocol for target coverage using rough set theory

Author(s):  
Pooja Chaturvedi ◽  
A. K. Daniel
Author(s):  
Pooja Chaturvedi ◽  
A K Daniel

Background: Target coverage is considered as a significant problem in the area of wireless sensor networks which usually aims at monitoring a given set of targets with the required confidence level so that network lifetime can be enhanced while considering the constraints of the resources. Objective: To maximize the lifetime of the sensor network and minimize the overhead involved in the scheduling approach, such that the pre specified set of targets is monitored for longer duration with the required confidence level. Methods: The paper uses a fuzzy logic system based on Mamdani inference in which the node status to remain in the active state is determined on the basis of coverage probability, trust values and node contribution. The rule set for determining the set cover is optimized by using the rough set theory which aims to determine the node validity for the trust calculation. Results: The results show that the proposed approach improved the network performance in terms of processing time, throughput and energy conservation by a factor of 50%, 74% and 74% respectively as compared to the existing approaches. Conclusion: The paper proposes a scheduling strategy of the nodes for target coverage as an enhancement to the energy efficient coverage protocol (EECP) on the basis of rough set theory. The rule set for determining the set cover is optimized by using the rough set theory so that the network performance is improved in terms of the processing time, throughput and energy consumption. Current and Future Developments: In this paper we have optimized the performance of EECP protocol by considering the concept of Rough Set Theory, which determined the validity of the nodes in the trust calculation. We have evaluated the performance through a number of simulations and the results show the comparative improvement in terms of the processing time, throughput and energy conservation. To utilize the unutilized nodes in the current round for the coverage enhancement is our future work. We also aim to study the effects of heterogeneity on the performance of the proposed protocol in future. Declaration: The authors declare that the research article is author’s original work and have not been sent/ published elsewhere.


2020 ◽  
Vol 3 (2) ◽  
pp. 1-21 ◽  
Author(s):  
Haresh Sharma ◽  
◽  
Kriti Kumari ◽  
Samarjit Kar ◽  
◽  
...  

2009 ◽  
Vol 11 (2) ◽  
pp. 139-144
Author(s):  
Feng CAO ◽  
Yunyan DU ◽  
Yong GE ◽  
Deyu LI ◽  
Wei WEN

Author(s):  
S. Arjun Raj ◽  
M. Vigneshwaran

In this article we use the rough set theory to generate the set of decision concepts in order to solve a medical problem.Based on officially published data by International Diabetes Federation (IDF), rough sets have been used to diagnose Diabetes.The lower and upper approximations of decision concepts and their boundary regions have been formulated here.


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