Browsing by Author "Basavaraj, G.N."

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    H-LEACH protocol with modified cluster head selection for WSN
    (2018) Basavaraj, G.N.; Jaidhar, C.D.
    A novel routing algorithm, Modified Hybrid Low Energy Adaptive Clustering Hierarchy (MHLEACH) developed to surmount the difficulty of managing energy in network. The Wireless Sensor Networks (WSNs) lifetime enhanced on considering residual node energy, average distance, optimal Cluster Heads (CHs) count and closer nodes to Base Station (BS). An approach to design a new clustering algorithm based on Hybrid Low Energy Adaptive Clustering Hierarchy (HLEACH). In this paper, we formulated a new Threshold condition ? (?) for electing CHs among Sensor Nodes (SNs). Simulation result show that proposed algorithm is better than HLEACH in balancing the node energy of the network. � 2017 IEEE.
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    H-LEACH protocol with modified cluster head selection for WSN
    (Institute of Electrical and Electronics Engineers Inc., 2018) Basavaraj, G.N.; Jaidhar, C.D.
    A novel routing algorithm, Modified Hybrid Low Energy Adaptive Clustering Hierarchy (MHLEACH) developed to surmount the difficulty of managing energy in network. The Wireless Sensor Networks (WSNs) lifetime enhanced on considering residual node energy, average distance, optimal Cluster Heads (CHs) count and closer nodes to Base Station (BS). An approach to design a new clustering algorithm based on Hybrid Low Energy Adaptive Clustering Hierarchy (HLEACH). In this paper, we formulated a new Threshold condition Τ (η) for electing CHs among Sensor Nodes (SNs). Simulation result show that proposed algorithm is better than HLEACH in balancing the node energy of the network. © 2017 IEEE.
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    Low latency and energy efficient cluster based routing design for wireless sensor network
    (Institute of Advanced Engineering and Science info@iaesjournal.com, 2019) Basavaraj, G.N.; Jaidhar, C.D.
    Wireless sensor network (WSN) has attained wide adoption across various sectors and is considered to be key component of future real-time application such as BigData, Internet of things (IoT) etc. The modern application requires low latency and scalable real-time data access considering heterogeneous network. However, provisioning low latency real-time data access incurs energy overhead among sensor device. Clustering technique aided in providing scalability and minimizing energy consumption among sensor device. However, it incurs energy overhead among cluster head and sensor device closer to sink. To address, many optimization technique is been presented in recent time for optimal cluster selection. However, these technique are designed considering homogenous network. To address, this work presented Low Latency and Energy Efficient Routing (LLEER) design for heterogeneous WSN. The LLEER adopts multi-objective function such as connectivity, connection time, radio signal strength, coverage time, and network traffic for cluster head and hop node selection. Experiment are conducted to evaluate LLEER design shows significant performance improvement over state-of-art model in terms of network lifetime considering total node death, first node death, and loss of connectivity, communication overhead, and packet transmission latency. Proposed LLEER brings a good trade-off between energy efficiency, and latency requirement of future real-time application. © 2019 Institute of Advanced Engineering and Science. All rights reserved.