scholarly journals Fixed Point of Rational Contractions and Its Application for Secure Dynamic Routing in Wireless Sensor Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Awais Asif ◽  
Ekrem Savas ◽  
Hussain AlSalman ◽  
Muahammad Arshad ◽  
Abdu Gumaei ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Fixed Point ◽  
Sensor Networks ◽  
Data Security ◽  
Data Communication ◽  
Dynamic Routing ◽  
Closed Ball ◽  
Routing Algorithms ◽  
Wireless Sensor ◽  
Sensor Field

Security is one of the major concerns for data communication over wireless sensor networks (WSNs). Dynamic routing algorithms can provide small similarity paths of data delivery between two consecutive transmitted packets, improving data security without adding extra information or control messages. This article illustrates the iteration of the fixed point (FP) of rational contractions and generalized Banach contractions (BC) in the setting of F-metric space (F-MS). It also describes an FP of the said mappings, while restricting the imposition of the contraction only to a subset of the F-MS, the closed ball, rather than executing it on the entire F-MS. The results have been verified and supported by concise examples. Further, the application of the functional equation proved results with randomization is given to find a solution for secure dynamic routing of data transmission in WSNs. The application is a tool to analyze and model a network structure in which sensors can be deployed with high security and low risk in a greater region (sensor field), thus boosting the accuracy.

scholarly journals Energy-efficient routing in the proximity of a complicated hole in wireless sensor networks

2021 ◽  
Author(s):  
Khanh-Van Nguyen ◽  
Chi-Hieu Nguyen ◽  
Phi Le Nguyen ◽  
Tien Van Do ◽  
Imrich Chlamtac
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Geographic Routing ◽  
Routing Algorithms ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Energy Efficient Routing ◽  
Routing Schemes ◽  
Routing Scheme ◽  
Effective Manner

AbstractA quest for geographic routing schemes of wireless sensor networks when sensor nodes are deployed in areas with obstacles has resulted in numerous ingenious proposals and techniques. However, there is a lack of solutions for complicated cases wherein the source or the sink nodes are located close to a specific hole, especially in cavern-like regions of large complex-shaped holes. In this paper, we propose a geographic routing scheme to deal with the existence of complicated-shape holes in an effective manner. Our proposed routing scheme achieves routes around holes with the (1+$$\epsilon$$ ϵ )-stretch. Experimental results show that our routing scheme yields the highest load balancing and the most extended network lifetime compared to other well-known routing algorithms as well.

Attribute-Aware Data Aggregation Using Potential-Based Dynamic Routing in Wireless Sensor Networks

2013 ◽  
Vol 24 (5) ◽  
pp. 881-892 ◽  
Author(s):  
Fengyuan Ren ◽  
Jiao Zhang ◽  
Yongwei Wu ◽  
Tao He ◽  
Canfeng Chen ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Aggregation ◽  
Dynamic Routing ◽  
Wireless Sensor

scholarly journals Cluster Based Multipath Dynamic Routing (CBDR) Protocol for Wireless Sensor Networks

2015 ◽  
Vol 8 (S2) ◽  
pp. 17 ◽  
Author(s):  
G. N. S. Abhishek Varma ◽  
G. Aswani Kumar Reddy ◽  
Y. Ravi Theja ◽  
T. Arunkumar
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Dynamic Routing ◽  
Wireless Sensor

Efficient Energy Conservation and Faulty Node Detection on Machine Learning-Based Wireless Sensor Networks

2021 ◽  
Vol 13 (2) ◽  
pp. 1-20
Author(s):  
Amarasimha T. ◽  
V. Srinivasa Rao
Keyword(s):  
Machine Learning ◽  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Data Communication ◽  
Energy Utilization ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Support Vector ◽  
Faulty Node

Wireless sensor networks are used in machine learning for data communication and classification. Sensor nodes in network suffer from low battery power, so it is necessary to reduce energy consumption. One way of decreasing energy utilization is reducing the information transmitted by an advanced machine learning process called support vector machine. Further, nodes in WSN malfunction upon the occurrence of malicious activities. To overcome these issues, energy conserving and faulty node detection WSN is proposed. SVM optimizes data to be transmitted via one-hop transmission. It sends only the extreme points of data instead of transmitting whole information. This will reduce transmitting energy and accumulate excess energy for future purpose. Moreover, malfunction nodes are identified to overcome difficulties on data processing. Since each node transmits data to nearby nodes, the misbehaving nodes are detected based on transmission speed. The experimental results show that proposed algorithm provides better results in terms of reduced energy consumption and faulty node detection.

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