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Research Of Routing Protocols Of Smart Network Based On Intelligent Terminal

Posted on:2017-09-20Degree:MasterType:Thesis
Country:ChinaCandidate:X Z ChenFull Text:PDF
GTID:2348330503996196Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
Wireless sensor networks(WSN) which is the rapid development of information technology today, as one of the important representatives of the next generation network, will have a profound impact on the future life.Wireless sensor networks has a sensing, computing and communication capabilities of the sensor nodes which are combined into a composite system.Its extensive use of small size, low cost embedded devices as sensor nodes are part of a network infrastructure of each sensor. That sensor nodes receive and transmit information as a means for transmitting and receiving information from other nodes can also send their status to other nodes. Wireless sensor network routing protocol allows many tiny embedded devices through multi-hop way to form a network interconnection and data transmission between devices; network architecture supports flexible dynamic adjustment to facilitate a new node join the network, node fault compensation or to automatically adapt to network expansion to a larger geographic area.1. On the basis of the mobile platform, this paper presents the architecture of the intelligent network system using Zig Bee development boards as a sensing device node carrier and Android application monitoring interface design technology to achieve system requirements.2. The length of the network lifetime is an important indicator of network performance whether it is good or bad, which depends mainly on the energy consumption of the node. The node energy management network routing protocol is an important issue. Low-Energy Adaptive Clustering Hierarchy protocol, LEACH, is proposed for the balance of energy consumption. Based on the LEACH protocol, the residual energy from the integrated and with an improved convergence node cluster head election strategy to reduce random selection of cluster head. After determining the optimal number of cluster head, nodes in the region are divided based on a Voronoi diagram. The simulation can be seen that the improved clustering protocol more efficient in terms of energy balance, effectively extending the network lifetime.3. Another measure of the performance of the network is the network coverage.This article describes the definition of the area covered by the sensor network, node types and common perception model, and outlines the relationship between the model and the establishment of the network coverage and the number of nodes deployed randomly in the area. Coverage over a large area sensor node density sensing the presence of a large number of overlapping areas, there may not cover small local node density regions. By improving node deployment method for node density areas within the judgment, to reduce the number of nodes in high density areas, increasing the number of regional nodes low density. Consider regional boundary nodes effect on the boundary nodes with a certain probability of selection. The simulation shows that with a minimum of sensor nodes based on the realization of the complete coverage of the target area.
Keywords/Search Tags:Wireless Sensor Network, Routing protocol, Clustering algorithm, Coverage control, Android
PDF Full Text Request
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