Browsing by Author "Kumar, Rakesh"

Now showing 1 - 5 of 5
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    A Design to Matchstick Holder
    (2020-06-19) Kumar, Rakesh
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    Hybrid energy efficient network using firefly algorithm, PR-PEGASIS and ADC-ANN in WSN
    (Sensors International, 2022) Kumar, Rakesh; Ali, Shokat
    Every wireless sensor network is threatened mainly due to Lifespan, Energy, Distortion, Security etc. Life time and energy are two major concerns of Wireless Sensor Network. The way Energy is utilized in the network will define how much the lifespan of a WSN is. To improve the lifespan of sensor nodes, the researches focus on the reduction of energy consumption rate of the nodes during the process of transmission and reception of data. The foremost emphasis of this research work is to project a distortion free wireless network with the help of appropriate Cluster head selecting through firefly algorithm. A grid-based clustering approach is used to select an appropriate CH from clusters of networks. The aim of selecting an appropriate CH is to reduce the energy consumption rate followed by swarm inspired optimization algorithm such as Firefly algorithm. After the selection of the CH, the route is form by using Proficient Routing based Power-Efficient Gathering in Sensor Information (PR-PEGASIS) hierarchical routing protocol. To face the distortion in the network due to battery discharge problem or from various other issue, Active Distortion Control Artificial Neural Network (ADC-ANN) is used to classify the optimal nodes within the route. At last, the comparison between existing work and proposed work is performed to determine the accuracy of the proposed work. This research emphases the best possible utilization of existing techniques and framed new algorithm to reduce the energy consumption of the WSN. The energy consumption rate up to 17.6% is reduced as compared to the existing work
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    Role of Trust in Adoption of Online Good Service Tax Filing in India.
    (VIKALPA The Journal for Decision Makers, 2019) Kumar, Rakesh
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    Scalable energy optimization of resources for mobile cloud computing using sensor enabled cluster based system
    (2025) Kumar, Rakesh
    Abstract The rising craze of sensor enabled mobile devices promotes its usage in Mobile Cloud Computing (MCC), Mobile Edge Computing (MEC) and other distributed computing environments derived from the cloud computing environment. As the computing paradigm shifts from centralized to distributed computing and mobile devices are getting smarter and resource rich, it facilitate the user to do computation to its proximity. Hence, it is quite useful to incorporate the Wireless Sensor Networks (WSN) with distributed computing environment to better cater to the user needs. The proposed work enhances the MCC and MEC by incorporating sensor enabled computing along with the application of energy optimization techniques such as coyote optimization, Fuzzy Logic (FL), data redundancy and data compression. A new framework called Sensor Enabled-Scalable Key Parameter Yield of Resources (SE-SKYR) framework is proposed in this research work by integrating SKYR framework with cluster-based sensing mechanism. The proposed work uses SKYR framework which is a cloudlet based MCC framework and works well for MEC as well. Cloudlet is used as the main computing component available at the local level which suits both MEC and MCC. The existing system uses the concept of relay node to transmit data pack ets in transmission path from sensor nodes to server via edge cloud and hence causes delay in transmission of data. In the proposed work, we have introduced a Scalable Energy Optimization of Resource (SEOR) algorithm to optimize the energy consumption by various resources. SE-SKYR framework along with SEOR algorithm addresses the problems faced by the existing system. The complexity of the proposed SEOR algorithm is less as compared to its existing counterparts and is also comprehended from the results.