Journal Articles

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    Effective integration of reliable routing mechanism and energy efficient node placement technique for low power IoT networks
    (IGI Global cust@igi-global.com, 2017) Sarwesh, P.; Shet, N.S.V.; Chandrasekaran, K.
    Internet of Things (IoT) is the emerging technology that links physical devices (sensor devices) with cyber systems and allows global sharing of information. In IoT applications, devices are operated by battery power and low power radio links, which are constrained by energy. In this paper, node placement technique and routing mechanism are effectively integrated in single network architecture to prolong the lifetime of IoT network. In proposed network architecture, sensor node and relay node are deployed, sensor nodes are responsible for collecting the environmental data and relay nodes are responsible for data aggregation and path computation. In node placement technique, densities of relay nodes are varied based on traffic area, to prevent energy hole problem. In routing technique, energy efficient and reliable path computation is done to reduce number of re transmissions. To adopt IoT scenario, we included IEEE 802.15.4 PHY/MAC radio and IPv6 packet structure in proposed network architecture. Proposed work result shows, proposed architecture prolongs network lifetime. © © 2017, IGI Global.
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    Localization Based on RSSI Exploiting Gaussian and Averaging Filter in Wireless Sensor Network
    (Springer Verlag, 2018) Mahapatra, R.K.; Shet, N.S.V.
    The primary focus in this paper is on position estimation of an unknown sensor node in indoor environment. Received signal strength (RSS)-based algorithm was used for position estimation in which Gaussian filter and averaging filter were used for distance estimation, and for localization, trilateration and least square estimation were used. IRIS motes from MEMSIC were used for the experiments and were configured in real time to record the RSSI. Effect on distance estimation and localization was studied in indoor environment by conducting several experiments. Simulation results show that the proposed sensor selection, distance estimation based on RSSI as well as localization method helps in improving accuracy of position estimation in different environmental conditions. © 2017, King Fahd University of Petroleum & Minerals.
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    ETRT – Cross layer model for optimizing transmission range of nodes in low power wireless networks – An Internet of Things Perspective
    (Elsevier B.V., 2018) Sarwesh, P.; Shet, N.S.V.; Chandrasekaran, K.
    Internet of Things network is managed by battery operated devices and low power radio links since they are referred to low power networks. In present communication era, many research works are concentrating on low power wireless network. Cross layer design is one of the acclaimed technique that decidedly improves the network performance. In this article, we come up with the cross-layer model that satisfies distinct network requirements and prolongs network lifetime. It integrates physical layer, data link layer (Media Access Control) and network layer in the protocol stack. In our model, a threshold value called ETRT (Expected Transmission Range Threshold) is introduced, which is computed with the help of routing information. Later, MAC based power control technique utilizes the ETRT value and assigns optimum transmission range for every node. The idea at the heels of proposed cross layer model is estimating the capability (ETRT value) of the particular node and assigning the suitable transmission power for every node, based on its capability (ETRT value). Hence, assigning optimum transmission power based on ETRT information prolongs the network lifetime with better reliability and Quality of Service(QoS). From our results, it is noticed that the ETRT based cross layer model performs twice better than the standard model. © 2018 Elsevier B.V.
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    Cyber physical system perspective for smart water management in a campus
    (Desalination Publications dwt@deswater.com, 2019) Abhishek, M.B.; Shet, N.S.V.
    Smart water management in a large-scale campus is a good instance of cyber physical system (CPS). For realising this instantiation calls, a systematic framework together with the actual implementation of the associated modules needs to be devised. In this paper, the key issues of monitoring/sensing, networking, and computation parts put forward toward a deployable solution are proposed. Monitoring and Networking involving appropriate sensing and data transmission to monitor the water flow in the storage tanks at National Institute of Technology, Surathkal, Karnataka, India, are worked out to a mature stage. This paper captures essential details of these technical contributions, including necessary customisation and enhancement of the existing technologies. In the direction of addressing the data analytics of the computing part, the issue of imputing the missing values has been considered. An extensive set of results and comparisons obtained by applying different algorithms to the collected data are also presented. The technical contributions of this paper form a strong base toward the CPS realisation in the Campus, resulting in efficient water management when augmented with further analytics and modeling to address scalability. © ?2019 Desalination Publications.
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    Improving Download Throughput by Saving the Transmission Bandwidth in Vehicular Networks
    (Springer Verlag, 2019) Patil, A.; Shet, N.S.V.
    Internet of vehicles focuses on globalization of vehicular networks by providing better communication means between vehicles and other infrastructures also between vehicles and human. The efficient data transfer between moving vehicles as well as between vehicles and roadside units is one of the current demands of vehicular network standards. Index coding has proven its significance in reducing number of transmissions in wireless networks. In this paper, we focus on satisfying demands of multiple clients with reduced number of transmissions at server. The proposed contention-based protocol uses index coding to reduce transmissions. Multiple files can be transmitted in a single file using index coding, which eventually reduce transmissions and also save transmission bandwidth. The effect of vehicle speed and available number of clients on the system throughput is presented in this paper. Simulation results show that our proposed design achieves higher throughput than IEEE 1609.4 and VEMMAC, and it also saves the transmission bandwidth at server, since multiple files are transmitted in a single transmission. © 2019, King Fahd University of Petroleum & Minerals.
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    DTPF Algorithm Based Open-Source Time-Sensitive Network Leveraging SDN Architecture
    (Institute of Electrical and Electronics Engineers Inc., 2023) Hagargund, A.G.; Shet, N.S.V.; Kulkarni, M.
    Time-Sensitive Networking (TSN) has enabled a lot of advancements in industrial automation, aviation, tactile networking, and other ad-hoc networking applications. The bounded latency, reliability, and self-recovering mechanisms for a network are some of the core attributes of the TSN architecture. The reliability of bench-marking of a given TSN architecture, when done with simulators, will not match with that of hardware systems. But the TSN hardware needs more capital investment along with more development time as it involves understanding the hardware-specific parameters. The research in this paper has solved this shortcoming by implementing an open-source and secured SDN(Software Defined Networking)-based TSN framework integrating IEEE's 802.1 Qbv and 802.1Qcc standards. The novelty of implementation involves i) Realization of Centralized User Configuration (CUC), Centralized Network Configuration (CNC) with open source tools. ii) An algorithm called Dynamic TSN Path Finder (DTPF) is implemented for automatically identifying TSN edges participating in TSN flow. iii) Emulation of hardware environment leveraging Linux-based queuing disciplines and traffic shapers. This unique open source-based TSN architecture is then tested with both TSN and Non-TSN traffic, to demonstrate the gating logic and the delay characteristics based on queuing discipline when applied to virtual queues. © 2013 IEEE.
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    A survey on wireless sensor network (applications and architecture)
    (Inderscience Publishers, 2024) Mahapatra, R.K.; Kaliyath, Y.; Shet, N.S.V.; Mahapatro, S.R.; Satapathi, G.S.; Prusty, S.B.; Patro, B.S.
    Proliferation of the wireless sensor network is due to the advancement in wireless networks, information technologies, miniaturisation of sensors as well as convergence of MEMS technology, wireless communication and digital electronics. These wireless networks interface the physical world to the computing (virtual) world. In recent years, the availability of smaller, cheaper and intelligent sensors on a large scale has motivated the deployment of sensors in various applications such as smart city, smart home, smart grid, automated vehicles, etc. The sensor plays an important role in internet of things. This survey reports current research activities, applications, characteristics, architecture and case study of WSNs. In addition to this open research issues/problems are discussed. The aim is to present a comprehensive study of the literature on several aspects of wireless sensor network such as application and architecture. © 2024 Inderscience Enterprises Ltd.
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    A Novel Single-Layered Dual-Wideband Circularly Polarized Asymmetric Slot Antenna for Wireless Applications
    (Electromagnetics Academy, 2024) Shankaraiah, P.H.; Shet, N.S.V.; Kandasamy, K.
    This work focuses on the design and implementation of a dual-wideband asymmetric square-shaped slot radiator with coplanar waveguide (CPW) feed for circular polarization (CP) characteristics. The proposed radiator has inward ground plane extensions in the form of square and rectangular strips on the diagonal corners of the slot. By optimizing the size of strips, a dual-band antenna with CP behaviour is obtained. The inverted L-shaped grounded strip improves axial ratio bandwidth (ARBW). The extended signal line terminated in a wide tuning stub significantly improves impedance bandwidth (IBW) and also further enhances ARBW. The designed asymmetric slot radiator is fabricated using an FR-4 substrate material of dimensions 50×50×1.6 mm3. This antenna design gives flexibility to alter polarization sense at the dual frequency bands. Further, edge effects are analyzed through electric field distribution, and their impact on impedance and AR characteristics are studied. It is designed, fabricated, and tested, and shows right-hand circular polarization (RHCP) response at 3 GHz and 7.5 GHz in the +Z direction. The experimentally verified results show −10-dB IBWs of 40.12% (range from 2.61 GHz to 3.92 GHz) and 40.21% (range from 6 GHz to 9.02 GHz), and 3-dB ARBWs are 20% (range from 2.70 GHz to 3.30 GHz) and 40.21% (range from 6 GHz to 9.02 GHz) at the resonance bands. The experimentally measured and simulated performance parameters of the prototype are in close agreement. The proposed perturbed slot radiator is well suited for Wi-Fi 6E communication and remote sensing applications. © 2024, Electromagnetics Academy. All rights reserved.
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    Malicious encrypted network traffic flow detection using enhanced optimal deep feature selection with DLSTM
    (World Scientific, 2024) Hublikar, S.; Shet, N.S.V.
    This paper plans to implement a novel detection model of maliciously encrypted internet protocol network flow using the deep structured concept. The major processing levels are (i) data collection, (ii) feature extraction, (iii) optimal feature selection, and (iv) detection. In the beginning, the standard dataset is taken from online databases. The deep convolutional neural network (DCNN) is introduced for the deep feature extraction process. The accurate features are chosen by the crossover decision-based krill herd algorithm (CD-KHA) which helps to minimize the training complexity of the deep structured architecture. These selected features are given to the hybridized deep learning with long short-term memory (LSTM) and deep neural network (DNN). Here, the structural design of the model is improved by the same CD-KHA. Through the comparison and analysis, the accuracy rate of the offered method shows higher performance than the other baseline approaches. © 2024 World Scientific Publishing Company.
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    Enhancing Time-Sensitive Networking resilience through SDN-based automated failover process
    (KeAi Communications Co., 2025) Hagargund, A.G.; Asha, K.; Shet, N.S.V.; Kulkarni, M.
    In domains such as industrial automation, tactile networking, and invehicle communication, stringent requirements for bounded latency and minimal packet loss are paramount to ensure the reliability and efficiency of Time-Sensitive applications. The Time-Sensitive Networking (TSN) aims to cater to these requirements. The architecture of TSN involves heterogeneous data with mixed traffic classes. To ensure the continuous availability of the TSN network, the required failover process for TSN devices must be in place. In this paper, the novel algorithm TSN Device Failover Design (TDFD) for automatic failover configuration of edge switch is proposed and validated using Linux based Open Source tools. Also, the Software Defined Networking (SDN) infrastructure is being employed to enhance the operational efficiency of distributed TSN. For the bounded latency as proposed under the IEEE 802.1Qbv, this work utilizes TAPRIO (Time Aware Priority) queuing discipline. Additionally, the impact of failover on TSN traffic is analyzed by measuring the latency. The experiment result shows that the TSN packets were sent to the destination with a delay of 6 to 13 microseconds before failover. During the failover process, there were no packet transmissions for about 160 ms due to the transition from the old TSN path to the new TSN path due to switch failure. After this, the packets are transmitted to the destination with zero loss. The time taken for the CUC to calculate the new flows and push the new flows to the backup switch is 160 ms. © 2025 The Authors