Volume-1 Issue-4, August 2021 – Indian Journal of Data Communication and Networking (IJDCN)

C5029043323

IJDCN Journal — Wed, 20 Dec 2023 09:40:33 +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

Airsense – Air Quality Monitoring
Rohith Muralidharan¹, Neenu Kuriakose², Sangeetha J³
¹Rohith Muralidharan, Department of Computer Science, St. Albert’s College (Autonomous), Ernakulam, India.

²Neenu Kuriakose, Department of Computer Science, St. Albert’s College (Autonomous), Ernakulam, India.

³Sangeetha J, Department of Computer Science, St. Albert’s College (Autonomous), Ernakulam, India.

Open Access | Ethics and Policies | Cite | Zenodo | Indexing and Abstracting
© 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: This paper basically aims to measure the indoor air quality by making use of two prominent sensors namely the DHT11 sensor which is used to measure the temperature and humidity and the MQ135 sensor which is used to detect harmful gases in the air such as Ammonia, CO2, CO, Nitrogen oxides, alcohol, smoke. The sensor allows us to determine the values of various gases in the house and classify it as good, bad, poor or toxic. This allows us to be alert and take necessary course of action to make the household a better and safer place to reside. This setup uses an Arduino uno as the microprocessor to perform necessary calculations. The data is then captured to the host system serially and is used for data visualization in Realtime using python and its various libraries.

Keywords: IoT, MQ135, DHT11, Realtime Indoor Air Quality Monitoring, Arduino UNO, Python.
Scope of the Article: IoT

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C5016061321

IJDCN Journal — Sat, 07 Aug 2021 11:30:10 +0000

Challenges in Sinkhole Attack Detection in Wireless Sensor Network
Akhilesh A. Waoo¹, Virendra Tiwari²
¹Dr. Akhilesh A. Waoo, Associate Professor and Head, Department of Computer Science & Engineering, AKS University, SATNA (M.P.), India.

²Mr. Virendra Tiwari, Research Scholar, Department of Computer Science & Engineering, AKS University, SATNA (M.P.), India.

Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© 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: Wireless sensor networks (WSN’s) comprise limited energy small sensor nodes having the ability to monitor the physical conditions and communicate information among the various nodes without requiring any physical medium. Over the last few years, with the rapid advancements in information technology, there has been an increasing interest of various organizations in making the use of wireless sensor networks (WSN’s). The sensor nodes in WSN having limited energy detects an event, collect data and forward this collected data to the base node, called sink node, for further processing and assessment. Few attributes of WSN’s like the energy consumption and lifetime can be impacted by the design and placement of the Sink node. Despite various useful characteristics WSN’s is being considered vulnerable and unprotected. There is a large class of various security attacks that may affect the performance of the system among which sinkhole an adversary attack puts dreadful threats to the security of such networks. Out of various attacks, a sinkhole attack is one of the detrimental types of attacks that brings a compromised node or fabricated node in the network which keeps trying to lures network traffic by advertising its wrong and fake routing update. Sinkhole attacks may have some other serious harmful impacts to exploit the network by launching few other attacks. Some of these attacks are forwarding attacks, selective acknowledge spoofing attacks, and they may drop or modify routing information too. It can also be used to send fake or false information to the base station. This study is analyzing the challenges with sinkhole attacks and exploring the existing available solutions by surveying comparatively which used to detect and mitigate sinkhole attacks in the wireless sensor network.

Keywords: Wireless sensor network (WSN), compromised node, sinkhole attack, detection, and mitigation of sinkhole attack.
Scope of the Article: Networks: Adhoc and Sensor Networks, High Speed Networks, Mobile and Wireless Networks,

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