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Author: search.filters.author.Shivaprakasha, K.S.Has files: Yes

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    Advances in Communication, Signal Processing, VLSI, and Embedded Systems: Select Proceedings of VSPICE 2019
    (Springer, Singapore, 2020) Kallya, Shubhakar; Kulkarni, Muralidhar; Shivaprakasha, K.S.
    This book comprises selected peer-reviewed papers from the International Conference on VLSI, Signal Processing, Power Systems, Illumination and Lighting Control, Communication and Embedded Systems (VSPICE-2019). The contents are divided into five broad topics - VLSI and embedded systems, signal processing, power systems, illumination and control, and communication and networking. The book focuses on the latest innovations, trends, and challenges encountered in the different areas of electronics and communication, and electrical engineering. It also offers potential solutions and provides an insight into various emerging areas such as image fusion, bio-sensors, and underwater sensor networks. This book can prove to be useful for academics and professionals interested in the various sub-fields of electronics and communication engineering.
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    Information Theory and Coding
    (Wiley, New Delhi, 2018) Kulkarni, Muralidhar; Shivaprakasha, K.S.
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    Energy efficient shortest path routing protocol for wireless sensor networks
    (2011) Shivaprakasha, K.S.; Kulkarni, M.
    Wireless Sensor Networks (WSNs) have become one of the emerging trends of the modern communication systems. Routing plays a vital role in the design of a WSNs as normal IP based routing will not suffice. Design issues for a routing protocol involve various key parameters like energy awareness, security, QoS requirement etc. Energy awareness is one of the vital parameters, as the batteries used in sensor nodes cannot be recharged often. Many energy aware protocols were proposed in the literature. In this paper, we propose a new Energy Efficient Shortest Path (EESP) algorithm for WSNs, which manages uniform load distribution amongst the paths so as to improve the network performance as compared to the traditional shortest path routing strategy. � 2011 IEEE.