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Rao, Allanki Sanyasi
- Energy Efficient and Secure Data Transmission using Cooperative Routing in Networks
Abstract Views :180 |
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Authors
Affiliations
1 Department of Computer Science and Engineering, KPR Institute of Engineering and Technology, IN
2 Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, IN
3 Department of Computer Science Engineering, Balaji Institute of Technology and Science, IN
1 Department of Computer Science and Engineering, KPR Institute of Engineering and Technology, IN
2 Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, IN
3 Department of Computer Science Engineering, Balaji Institute of Technology and Science, IN
Source
ICTACT Journal on Communication Technology, Vol 11, No 1 (2020), Pagination: 2115-2120Abstract
Wireless Sensor Networks (WSNs) are emerging as a promising technology because of their wide range of applications in industrial, environmental monitoring, military and civilian domains. Due to economic considerations, the nodes are usually simple and low cost. They are often unattended, however, and are hence likely to suffer from different types of novel attack. WSNs are increasingly being deployed in security-critical applications. Due to their inherent resource-constrained characteristics, they are prone to various security attacks, and a black hole attack is a type of attack that seriously affects data collection. In this paper, using the recent advances in uncertain reasoning that has originated from the artificial intelligence community, we propose a trust management scheme named Hybrid and Efficient Intrusion Detection Systems that enhances the security in networks. Here, we have used two frameworks for Trust Calculation and Decision Making process. The trust value is derived using Bayesian Inference, and Decision Making is based on Dempster-Shafer theory, which is a mathematical theory of evidence.Keywords
WSN, Dempster-Shafer Theory, Intrusion Detection System, Artificial Intelligence.
References
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- Advancement in Localization Techniques Using Precoders for Ultra Wide-band Systems
Abstract Views :40 |
PDF Views:1
Authors
Affiliations
1 Department of Electronics and Communication Engineering, SRM Valliammai Engineering College, IN
2 Department of Electronics and Communication Engineering, Christu Jyothi Institute of Technology and Science, IN
3 Department of Electronics and Communication Engineering, Malla Reddy Engineering College, IN
4 Department of Electrical and Electronics Engineering, University of Technology and Applied Sciences, OM
1 Department of Electronics and Communication Engineering, SRM Valliammai Engineering College, IN
2 Department of Electronics and Communication Engineering, Christu Jyothi Institute of Technology and Science, IN
3 Department of Electronics and Communication Engineering, Malla Reddy Engineering College, IN
4 Department of Electrical and Electronics Engineering, University of Technology and Applied Sciences, OM
Source
ICTACT Journal on Communication Technology, Vol 14, No 3 (2023), Pagination: 2982-2987Abstract
In the era of rapidly expanding wireless communication systems, the demand for high-performance, low-latency, and energy-efficient solutions is paramount. One technology that has emerged as a transformative force in addressing these requirements is Massive Multiple-Input Multiple-Output (Massive MIMO) precoding. This abstract delves into the key aspects of Massive MIMO precoding, highlighting its role in enhancing spectral efficiency, mitigating interference, and improving the overall performance of wireless networks. Massive MIMO precoding leverages a substantial number of antennas at the transmitter, allowing for the creation of highly focused spatial beams. These beams can be dynamically optimized to cater to the specific requirements of individual users or devices, maximizing the spectral efficiency by spatially multiplexing multiple streams. This technique offers significant advantages in terms of increasing network capacity and achieving higher data rates, especially in dense network scenarios. Furthermore, Massive MIMO precoding excels in interference mitigation. By spatially directing signals toward intended recipients and steering nulls towards interferers, it reduces the impact of co-channel interference, enhancing network reliability and quality of service. This is particularly valuable in scenarios where network congestion and interference pose significant challenges, such as urban environments and crowded event venues. The research delves into the role of Massive MIMO precoding in improving the signal-to-noise ratio, which directly translates to extended coverage areas and reduced power consumption. Additionally, we explore the implications of Massive MIMO precoding in enabling efficient communication in massive Internet of Things (IoT) deployments and its potential for 5G and beyond. Massive MIMO precoding is poised to reshape the wireless communication landscape. It promises to deliver unprecedented gains in spectral efficiency, interference management, and energy efficiency. As the demand for high-speed, reliable, and ubiquitous connectivity continues to surge, this research plays the pivotal role that Massive MIMO precoding plays in meeting these demands, ushering in a new era of wireless communication.Keywords
Precoding, Massive MIMO, Spectral Efficiency, Interference Mitigation, Wireless Communication.References
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- K. Sakthisudhan and P.N.S. Sailaja, “Textile EF Shaped Antenna based on Reinforced Epoxy for Breast Cancer Detection by Composite Materials”, Materials Today: Proceedings, Vol. 45, pp. 6142-6148, 2021.
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