scholarly journals Priority Schemes for Life Extension and Data Delivery in Body Area Wireless Sensor Networks with Cognitive Radio Capabilities

2019 ◽  
Vol 2019 ◽  
pp. 1-22 ◽  
Author(s):  
Sergio M. Martínez Chávez ◽  
Mario E. Rivero-Angeles ◽  
Laura I. Garay-Jiménez ◽  
Issis C. Romero Ibarra
Keyword(s):  
Wireless Sensor Networks ◽  
Cognitive Radio ◽  
Sensor Networks ◽  
Energy Levels ◽  
Life Extension ◽  
Wireless Sensor ◽  
Practical Implementation ◽  
Data Generation ◽  
Use Of Resources ◽  
Priority Schemes

Wireless sensor networks have recently been used to monitor bioelectric signals generated by the human body. However, since the dimensions and capabilities of the network nodes are small and limited, a problem is generated inherently by the energy consumption and radioelectric interference. In view of this, we propose two priority schemes to improve the performance of the network. In the first one, we aim at increasing the system lifetime by reducing the number of transmissions of nodes with low energy levels. In the second scheme, we aim at conveying priority data to the sink node as fast and efficient as possible. In the former scheme, users can be monitored for long time periods considering a low data generation. On the other hand, the latter scheme allows expediting transmission of important data when energy efficiency is not relevant. In this article, we mathematically model, analyze, and study the performance of the system for both priority schemes considering cognitive radio capabilities to make efficient use of resources and limit the radioelectric interference when the network transmits both continuous monitoring and event detection information. Numerical results provided in this work allow a careful parameter selection for practical implementation of BANETs.

Spectrum Sensing in Cognitive Radio Sensor Networks

2014 ◽  
pp. 48-72 ◽  
Author(s):  
Farooq Alam ◽  
Zahooruddin ◽  
Ayaz Ahmad ◽  
Muhammad Iqbal
Keyword(s):  
Wireless Sensor Networks ◽  
Cognitive Radio ◽  
Sensor Networks ◽  
Spectrum Sensing ◽  
Wireless Sensor ◽  
Research Issues ◽  
Comprehensive Review ◽  
Cognitive Radio Sensor Networks ◽  
Cognitive Radio Sensor Network ◽  
Core Issues

In this chapter, the authors provide a comprehensive review of spectrum sensing in cognitive radio sensor networks. Firstly, they focus on general techniques utilized for spectrum sensing in wireless sensor networks. To have good understanding of core issues of spectrum sensing, the authors then give a brief description of cognitive radio networks. Then they give a thorough description of the main techniques that can be helpful in doing spectrum sensing in cognitive radio sensor network. The authors conclude this chapter with open research issues and challenges that need to be addressed to provide efficient spectrum sensing in order to minimize the limitations in cognitive radio sensor networks.

Applications of Independent Component Analysis in Cognitive Radio Sensor Networks

2016 ◽  
pp. 1173-1202
Author(s):  
Zahooruddin ◽  
Ayaz Ahmad ◽  
Muhammad Iqbal ◽  
Farooq Alam ◽  
Sadiq Ahmad
Keyword(s):  
Wireless Sensor Networks ◽  
Cognitive Radio ◽  
Sensor Networks ◽  
Independent Component Analysis ◽  
Cognitive Radio Networks ◽  
Component Analysis ◽  
Radio Networks ◽  
Independent Component ◽  
Wireless Sensor ◽  
Cognitive Radio Sensor Networks

Independent component analysis is extensively used for blind source separation of different signals in various engineering disciplines. It has its applications in several areas of communication, multiple input multiple output, orthogonal frequency division multiplexing, wireless sensor networks, and cognitive radio networks. In this chapter, the authors discuss the general theory of independent component analysis, wireless sensor networks, cognitive radio networks, and cognitive radio sensor networks. The main focus of the chapter is the application of independent component analysis in cognitive radio networks, wireless sensor networks, and cognitive radio sensor networks. The issues and challenges of these emerging technologies are discussed while applying independent component analysis. Cognitive radio sensor network is a promising technology to efficiently resolve the issues of spectrum usage in sensor networks. The authors are the first to discuss the applications of independent component analysis in cognitive radio sensor networks. At the end of this chapter, they discuss some future research problems regarding the applications of independent component analysis in cognitive radio sensor networks.

Comparison Analysis of MAC Protocols for Wireless Sensor Networks

2020 ◽  
pp. 200-218
Author(s):  
Tapaswini Samant ◽  
Yelithoti Sravana Kumar ◽  
Swati Swayamsiddha
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Cost Optimization ◽  
Mac Protocols ◽  
Wireless Sensor ◽  
Practical Implementation ◽  
Bandwidth Utilization ◽  
Efficiency Cost ◽  
Efficient Criteria ◽  
Hybrid Protocols

Wireless sensor networks (WSN) are rapidly emerging as an interesting and challenging area of research in the field of communication engineering. This review work is different from other state-of-the-art literature as the MAC protocols discussed here are applicable both for homogeneous and heterogeneous networks. Performances like energy efficiency, cost optimization, throughput, bandwidth utilization, and scalability of the sensor network depend on MAC protocols, which are application-based. In the study, the authors have surveyed different MAC protocols with different merits and demerits. Based on the study, it is very hard to recommend any particular protocol as a standard for implementation as these are exclusively application dependent. The work can be further extended in terms of hybrid protocols, which may carry the advantages of the respective protocols along with energy-efficient criteria for practical implementation. Further cooperative WSN communication can be used for internet of things (IoT)-based systems, where the node placements and multi-operations concepts are of main concern.

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