Volume-2 Issue-6, October 2022 – Indian Journal of Data Communication and Networking (IJDCN)

F5026102622

IJDCN Journal — Sat, 01 Oct 2022 11:35:46 +0000

The Indian Journal of Data Communication and Networking (IJDCN) has ISSN 2582-760X (Online), an open-access, peer-reviewed, periodical bi-monthly international journal, which is published by Lattice Science Publication (LSP) in February, April, June, August, October and December. The aim of the journal is to publish high quality peer–reviewed original articles in the area of Data Communication and Networking that covers Addressing, Routing, Switching and Location Management, Broadband, Mobile, Wired, Wireless Internet, Networks, Adhoc and Sensor Networks, High Speed Networks, Mobile and Wireless Networks, Network Architectures, Network Based Applications, Network Protocols, Network Operations & Management, Network Security Trust & Privacy, Cross Layer Design and Optimization, Internet and Web Applications, Network Measurement & Performance Analysis, Next Generation Internet & Web Architectures, Peer to Peer and Overlay Networks, QOS And Resource Management, Recent Trends & Developments in Computer Networks, Self-Organizing Networks and Networked Systems, Ubiquitous Networks, Virtual & Overlay Networks, Wireless Mesh Networks and Protocols, Wireless Multimedia Systems, Personal and Wearable Networks, Embedded Networks, Delay-Tolerant Networks, Cognitive Radio Networks, Vehicular Networks, Smart Grid Communications, Underwater Sensor Networks, Cyber-Physical Systems, Social Networks, Green Networking, Overlay and Peer-to-Peer Networks, Local-area and Metropolitan-Area Networks, Storage-Area Networks, Routing and Transport Protocols, Internet of Things, Link Technologies, Authentication, Authorization, Accounting, Security and Privacy, Cross-Layer Optimization, Multimedia and Real-Time Communication, Machine-to-Machine Communications for Smart Environments, Smart Cities, Network Traffic Characterization and Measurements, Network Management, Reliability and QoS, Performance Evaluation of Networks, Testbeds for Network Experiments, Network Coding, Optical and High-Speed access Networks, High Performance Computing, Digital System and Logic Design, Networked-Driven Multicourse Chips, Information-centric Networking, Opportunistic Networking, Mobile and Ubiquitous Networking, Big Data Networking, Cloud Computing and Networking, Software Defined Networking and Network Function Virtualization, Adaptive Networking Applications, IoT & IoE & Edge Computing, Distributed Mobile Applications Utilizing IoT, Security, Privacy and Trust in IoT & IoE, Standards for IoT Applications, Ubiquitous Computing, Blockchain-Enabled IoT Device and Data Security and Privacy, Application of WSN in IoT, Cloud Resources Utilization in IoT, Wireless Access Technologies for IoT, Mobile Applications and Services for IoT, Machine/ Deep Learning with IoT & IoE, Smart Sensors and Internet of Things for Smart City, Logic, Functional programming and Microcontrollers for IoT, Sensor Networks, Actuators for Internet of Things, Data Visualization using IoT, IoT Application and Communication Protocol, Big Data Analytics for Social Networking using IoT, IoT Applications for Smart Cities, Emulation and Simulation Methodologies for IoT, IoT Applied for Digital Contents, Microstrip Antenna, Microwave, Radar and Satellite, Smart Antenna, MIMO Antenna, Wireless Communication, RFID Network and Applications, 5G Communication, 6G Communication. #Network Architectures #Network Based Applications #Network Protocols #Network Operations & Management #Network Security Trust & Privacy #Cross Layer Design and Optimization #Internet and Web Applications #Network Measurement & Performance Analysis #Next Generation Internet & Web Architectures #Peer to Peer and Overlay Networks #QOS And Resource Management #Recent Trends & Developments in Computer Networks #Self-Organizing Networks and Networked Systems #Ubiquitous Networks #Virtual & Overlay Networks #Wireless Mesh Networks and Protocols #Wireless Multimedia Systems #Personal and Wearable Networks #Information-Centric Networking #Embedded Networks #Opportunistic Networking #Delay-Tolerant Networks #Cognitive Radio Networks #Vehicular Networks #Smart Grid Communications #Underwater Sensor Networks #Cyber-Physical Systems #Social Networks #Green Networking #Overlay and Peer-to-Peer Networks #Local-area and Metropolitan-Area Networks #Storage-Area Networks #Routing and Transport Protocols #Big Data Networking #Cloud Computing and Networking #Software Defined Networking and Network Function Virtualization #Internet of Things #Link Technologies #Adaptive Networking Applications #Authentication, Authorization, Accounting #Security and Privacy #Cross-Layer Optimization #Multimedia and Real-Time Communication #Machine-to-Machine Communications for Smart Environments #Smart Cities #Network Traffic Characterization and Measurements #Network Management, Reliability and QoS #Performance Evaluation of Networks #Testbeds for Network Experiments #Network Coding #Optical and High-Speed Access Networks #High Performance Computing #Digital System and Logic Design #Networked-Driven Multicourse Chips #Information-Centric Networking #Opportunistic Networking #Mobile and Ubiquitous Networking #Big Data Networking #Cloud Computing and Networking #Software Defined Networking and Network Function Virtualization #Adaptive Networking Applications #Internet of Things (IoT) #IoT & IoE & Edge Computing #Distributed Mobile Applications Utilizing IoT #Security, Privacy and Trust in IoT & IoE #Standards for IoT Applications #Ubiquitous Computing #Blockchain-enabled IoT Device and Data Security and Privacy #Application of WSN in IoT #Cloud Resources Utilization in IoT #Wireless Access Technologies for IoT #Mobile Applications and Services for IoT #Machine/ Deep Learning with IoT & IoE #Smart Sensors and Internet of Things for Smart City #Logic, Functional programming and Microcontrollers for IoT #Sensor Networks, Actuators for Internet of Things #Data Visualization using IoT #IoT Application and Communication Protocol #Big Data Analytics for Social Networking using IoT #IoT Applications for Smart Cities #Emulation and Simulation Methodologies for IoT #IoT Applied for Digital Contents #Antenna and Communications Devices #Microstrip Antenna #Microwave #Radar and Satellite #Smart Antenna #MIMO Antenna #Wireless Communication #RFID Network and Applications #5G Communication #6G Communication #PhD #Academic #Scopus #SCI #LatticeScience #Springer, #ScienceDirect #IEEE #Mendeley #Research #Scholarship #UGC #SSRN #LatticeScience #ESCI #Science #Journal #Conference #SSRN #PubLons

Novel NOC Architecture for Designing and Implementing a Low Power Router using FPGA
Geethanjali N¹, Rekha K. R²
¹Geethanjali. N, Assistant Professor, Department of Electronics and Communication, Dr Ambedkar Institute of Technology, Bangalore (Karnataka), India.

²Dr. Rekha K. R, Professor, Department of Electrical Communication Engineering, SJBIT, Bengaluru (Karnataka), India.

Manuscript received on 15 September 2022 | Revised Manuscript received on 30 September 2022 | Manuscript Accepted on 15 October 2022 | Manuscript published on 30 October 2022 | PP: 8-13 | Volume-2 Issue-6 October 2022 | Retrieval Number: 100.1/ijdcn.F5026102622 | DOI: 10.54105/ijdcn.F5026.102622

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© The Authors. Published by Lattice Science Publication (LSP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The NOC architecture assumes critical detail at the same time as making plans correspondence frameworks to machine on chip. A noc engineering is higher-excellent over commonplace shipping, common delivery plan then crossbar interconnection layout intended for a on chip businesses. Improve a nice of provider, Throughput, Congestion and state of being inactive in a NoC, The proposed engineering steadily set up itself concerning device modules, as an instance, package deal based, transfer and statistics parcel size with the aid of various the states of correspondence additionally it is necessity at a run time. Within a network on Chip remained making use of stretched out XY calculation to development execution of correspondence. Proposed configuration work evades a halt then information misfortune in a manner with a assistance of this plan. It is able to accomplish low idleness with excessive statistics thru put. Inside this paper we are getting a beyond strategy and a proceed toward a dynamic reconfigurable transfer in a community on Chip without affecting SoC functionality. Reconfigurable VLSI engineering designed for a switch is a number one answer for a correspondence interface nature of management go adaptability of enterprise, value of chip. 2 The plan is created utilizing verilog HDL language and tried on modelsim to the useful rightness. An layout is created has to conquer a portion of the crucial systems administration issues like prevent and stay bolts. It is moreover executed and attempted on maximum latest Xilinx FPGA for the real execution. This paper affords the particular. Analysis and selection inside the dynamic reconfigurable router in a network on Chip.

Keywords: FPGA, X Y Algorithm, IP core, Router, NOC, On Chip Network.
Scope of the Article: Wireless Mesh Networks and Protocols

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F5025102622

IJDCN Journal — Sat, 13 Aug 2022 09:21:37 +0000

A Reduced-Complexity Maximum Likelihood Detection with A Sub Optimal Ber Requirement
Sharan Mourya¹, Amit Kumar Dutta²
¹Sharan Mourya, Assistant Professor, Indian Institute of Technology, Kharagpur (Hyderabad), India.

²Amit Kumar Dutta, Research Associate, Indian Institute of Technology, Kharagpur (Hyderabad), India.

Manuscript received on 02 August 2022 | Revised Manuscript received on 10 August 2022 | Manuscript Accepted on 15 October 2022 | Manuscript published on 30 October 2022. | PP: 1-7 | Volume-2 Issue-6 October 2022 | Retrieval Number: 100.1/ijdcn.F5025102622 | DOI: 10.54105/ijdcn.F5025.102622

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© The Authors. Published by Lattice Science Publication (LSP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Maximum likelihood (ML) detection is an optimal signal detection scheme, which is often difficult to implement due to its high computational complexity, especially in a multiple input multiple-output (MIMO) scenario. In a system with Nt transmit antennas employing M-ary modulation, the ML-MIMO detector requires MNt cost function (CF) evaluations followed by a search operation for detecting the symbol with the minimum CF value. However, a practical system needs the bit-error ratio (BER) to be application-dependent which could be sub-optimal. This implies that it may not be necessary to have the minimal CF solution all the time. Rather it is desirable to search for a solution that meets the required sub-optimal BER. In this work, we propose a new detector design for a SISO/MIMO system by obtaining the relation between BER and CF which also improves the computational complexity of the ML detector for a sub-optimal BER.

Keywords: Maximum Likelihood (ML) Detection, Multiple-input Multiple-output (MIMO)
Scope of the Article: Wireless Communication

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