Please use this identifier to cite or link to this item: http://drsr.daiict.ac.in//handle/123456789/691
Title: Energy Efficient Data Gathering In Wireless Sensor Network
Authors: Pillutla, Laxminarayana
Doshi, Digant Dilip
Keywords: Wireless Sensor Network architecture
MIMO
Simulation
Issue Date: 2017
Publisher: Dhirubhai Ambani Institute of Information and Communication Technology
Citation: Digant Dilip Doshi(2017).Energy Efficient Data Gathering In Wireless Sensor Network.Dhirubhai Ambani Institute of Information and Communication Technology.v, 36 p.(Acc.No: T00655)
Abstract: "Energy consumption in Wireless Sensor Network(WSN) is one of the critical aspect that we try to look upon. In WSN we see the major energy dissipation is on the micro sensor, which is the core part of WSN. These Micro Sensor nodes with the non-chargeable and non-replaceable limited battery power will dry out very early as they keep on sensing the physical phenomenon, which will affect the network lifetime. In this work, we have introduced one data gathering approach named as Cooperative multiple-input multiple-output(MIMO). This will enhance the data gathering in WSN at a lower energy dissipation. We have also implemented some of the existing approaches to compare it with the our own proposed approach. We are not replacing or suggesting the whole new approach but we are just trying to modify the data gathering process in WSN such that it can result in very less energy consumption. In the proposed approach we look to the prospective of the local transmission between any two nodes which combinedly send the data to the next hop. Where in existing approaches we try to look for the minimum route and send to that route. We are trying here data compression also to reduce the number of bits travelling through the network just to minimize the traffic and also to minimize the energy. The results we got is quite a comparable to the existing approach and also the scenario we assumed for the comparison is exactly opposite of the proposed approach and in that particular scenario also, it gives a measurable results which can be further improved by adding some of the relatable scenarios."
URI: http://drsr.daiict.ac.in//handle/123456789/691
Appears in Collections:M Tech Dissertations

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