Energy Efficient Routing in Vehicular Adhoc Network for Emergency Services

Bondre, Vipin; Dorle, S. S.

doi:10.1109/iccubea.2018.8697840

Cited by 2 publications

(2 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The wireless network demand is increases day by day for IoT devices because of the feature of CR technology which encourages the dynamic spectrum access, remove spectrum scarcity issues, increases spectrum efficiency, increases throughput, increases network life, etc. The optimization techniques used for improving the energy efficient [61], clustering algorithms, spectrum sensing in CR based IoT network. By using the multiple access scheme in the CR network the mobile data traffic is diverted to the unoccupied channel that distribute the network [58] load uniformly.…”

Section: Discussionmentioning

confidence: 99%

Encapsulation of Energy Efficient, Clustering Algorithm and Spectrum Sensing for Cognitive Radio Based Internet of Things Networks

Pravin Jaronde

2024

jes

View full text Add to dashboard Cite

Since the two decade the Internet of Things (IoT) plays an important role in the field of communication technology. Out of maximum of IoT devices are battery operated. So there should be energy efficient devices that can operate more functions with less power consumption. The main power constraints in the IoT devices are in the communication like spectrum selection, data transmission, etc. To perform communication between the two nodes the spectrum must be available. But as spectrums are limited and a lot of data is to be transmitted there may the issue of spectrum scarcity. The dynamic spectrum access is done using Cognitive Radio (CR) technology that can overcome spectrum scarcity issue. This paper gives the research work on energy efficient, clustering algorithm and spectrum sensing for CR based IoT networks in terms of the methods, merits, demerits and implementation. For efficiency in the spectrum sensing and energy consumption in 5G wireless communication network and data transfer between the IoT devices this study is essential. The biblometric analysis is shown by using VOSviewer to visualize the bibliometric information and the result as an analysis of ROC curve for Rayleigh and Rician channel is plotted using Matlab.

show abstract

Section: Discussionmentioning

confidence: 99%

Encapsulation of Energy Efficient, Clustering Algorithm and Spectrum Sensing for Cognitive Radio Based Internet of Things Networks

Pravin Jaronde

2024

jes

View full text Add to dashboard Cite

show abstract

“…Use Energy consumption is a critical issue in CRNs because of the Dynamic Spectrum Access (DSA) nature of these networks [28,29]. In CRNs, the radio devices need to constantly monitor the radio environment to detect available spectrum opportunities, which requires significant energy consumption.…”

Section: B Problem Statementmentioning

confidence: 99%

Spectrum Efficient Cognitive Radio Sensor Network for IoT with Low Energy Consumption

Jaronde,

Vyas,

Gaikwad

2023

IJRITCC

View full text Add to dashboard Cite

Cognitive Radio Sensor Networks (CRSNs) have emerged as a promising solution for efficient utilization of the limited frequency spectrum. One of the key challenges in CRSNs is achieving spectrum efficiency by avoiding interference and maximizing the use of the available spectrum. Particle Swarm Optimization (PSO) techniques have been widely used to optimize the spectrum allocation and improve the spectrum efficiency of CRSNs. In this paper the study provides an overview of the research on spectrum efficiency in CRSNs using PSO techniques and also discussed the key parameters that affect the spectrum efficiency, such as the swarm size, sensor's threshold and maximum number of iterations and highlights the importance of identifying the optimal combination of these parameters. This paper also emphasizes the need for further research and development in this area to improve the efficiency and effectiveness of PSO-based optimization techniques for CRSNs and to adapt them to various real-world scenarios. Achieving spectrum efficiency in CRSNs is critical for enabling effective wireless communication systems and improving the overall utilization of the available frequency spectrum.

show abstract

Energy Efficient Routing in Vehicular Adhoc Network for Emergency Services

Cited by 2 publications

References 7 publications

Encapsulation of Energy Efficient, Clustering Algorithm and Spectrum Sensing for Cognitive Radio Based Internet of Things Networks

Encapsulation of Energy Efficient, Clustering Algorithm and Spectrum Sensing for Cognitive Radio Based Internet of Things Networks

Spectrum Efficient Cognitive Radio Sensor Network for IoT with Low Energy Consumption

Contact Info

Product

Resources

About