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Research On Balanced Energy Consumption Based On Energy-consuming Model Of WSNs

Posted on:2016-11-11Degree:MasterType:Thesis
Country:ChinaCandidate:L TongFull Text:PDF
GTID:2298330467493462Subject:Software engineering
Abstract/Summary:PDF Full Text Request
A wireless network is a multi-hop self-organizing network consisting of a large number of sensors deployed in the target region. Due to the characteristics of the deployment environment and the node itself, it is crucial to study the energy consumption so as to know the life cycle of wireless sensor networks. Now many scientists are focused on the research on the energy-consuming model and balanced energy consumption, they try their best to optimize the distribution of energy consumption to extend the life cycles.In wireless sensor networks, the sensors close to the sink tend to exhaust their energy more quickly than others, which is known as an energy hole problem. Since sensors are equipped with small batteries which are usually impossible to recharge or replace, the network lifetime ends prematurely after an energy hole appears. Therefore, how to balance energy consumption so as to maximize the lifetime of sensor networks has significant research value.Through the study of WSNs, this paper establishes two parameters to evaluate the energy consumption based on the life cycle of WSNs and the nodes’ energy consumption rate. Besides, this paper investigates the lifetime maximization by an optimal network design considering the sensor density and other factors. The techniques focus on network design, assuming that sensors are equipped with different energy levels, the number of the nodes and their location in the network is quantified. In order to balance the energy consumption, the single node in a multi-hop wireless sensor network considers both the distance and residual energy information before the process of data transmission.This paper sets up three different node distribution strategies, firstly using the existing platform of the laboratory to verify the feasibility, and then construct a platform to evaluate the performance using NS2simulation tool. And we compare and analyze different network environments based on the life cycle of WSNs and the nodes’ energy consumption rate. The results of simulation indicate that our proposed node distribution effectively balances the energy consumption, prolongs the lifetime, and has a better performance in terms of the uninterrupted work in the terminal network of Internet of Things.
Keywords/Search Tags:network lifetime, balanced energy consumption, energy-consumingevaluation, node distribution
PDF Full Text Request
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