Conference Papers

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506

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    A novel family genetic approach for virtual machine allocation
    (Elsevier B.V., 2015) Joseph, C.T.; Chandrasekaran, K.; Cyriac, R.
    The concept of virtualization forms the heart of systems like the Cloud and Grid. Efficiency of systems that employ virtualization greatly depends on the efficiency of the technique used to allocate the virtual machines to suitable hosts. The literature contains many evolutionary approaches to solve the virtual machine allocation problem, a broad category of which employ Genetic Algorithm. This paper proposes a novel technique to allocate virtual machines using the Family Gene approach. Experimental analysis proves that the proposed approach reduces energy consumption and the rate of migrations, and hence offers much scope for future research. © 2015 Published by Elsevier B.V.
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    An energy-efficient static multi-hop (ESM) routing protocol for wireless sensor network in agriculture
    (Institute of Electrical and Electronics Engineers Inc., 2018) Dubey, A.K.; Upadhyay, D.; Santhi Thilagam, P.S.
    Energy efficient routing is a crucial area of research for wireless sensor network(WSN). The communication between the wireless sensor nodes is handled by the routing protocols. The nature of the link, low power and limited recourse makes it a difficult task to design an energy and performance efficient routing protocol for WSN. This paper proposes an energy-efficient route selection protocol for a multi-hop network with a static link for deployment in the field of agriculture. An energy model is also given in this paper to evaluate the energy consumption of the network. The proposed energy-efficient static multi-hop(ESM) routing protocol is evaluated based on the performance parameters for energy efficiency, network lifetime and pack loss and compared with an existing scheme. The simulation results represent that the proposed protocol increases the network throughput and the lifetime. © 2018 IEEE.