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Emergency-Aware Backpressure Scheme For Internet Of Things

Posted on:2018-01-07Degree:MasterType:Thesis
Country:ChinaCandidate:R X QiaoFull Text:PDF
GTID:2348330536960873Subject:Software engineering
Abstract/Summary:PDF Full Text Request
Recently,due to the large scale of Internet of Things(IoTs),the data in the networks increases.Collecting big data effectively and reducing the end-to-end delay have become a focus.For the emergency IoTs with limited energy,it is especially crucial to prolong the network lifetime and guarantee the real-time performance of emergency packets.The backpressure data collecting scheme is an adaptive method.It can control the network congestion and increase the throughput when deployed in IoTs.In this dissertation,we design an effective data collecting scheme on the basis of backpressure scheme,and aim at the energy limiting and bad real-time performance of emergency packets problems in IoTs.The original backpressure scheme attempts to search all the possible routes between the source and destination nodes in the networks,which results in unnecessary energy consumption and bad real-time performance.To address this problem,in this dissertation,we first propose an Energy-Distance-Aware(EDA)data collecting scheme.We introduce the energy and distance factor while calculating the forwarding weight,which increases the selecting probability of the nodes with more residual energy and closer distance to the destination node.Furthermore,we propose EABS,an event-aware backpressure scheduling scheme.A backpressure queue model with emergency packets is first devised based on the analysis of the arrival process of different packets.Meanwhile,EABS combines the shortest path with backpressure scheme in the process of next-hop node selecting.It is able to guarantee the real-time performance of emergency packets.This dissertation has finished the simulation experiment of EABS,comparing with traditional backpressure scheme and LIFO-based backpressure scheme,our proposed EDA-BP can significantly reduce the unnecessary energy consumption,balance the energy of nodes and extend the lifetime of the network.Further,EABS can significantly reduce the end-to-end delay,especially for the emergency packets,the real-time performance is guaranteed.Moreover,it increases the average forwarding percentage and network throughput.
Keywords/Search Tags:Internet of Things, Emergency-Aware, Backpressure Schedule, Lifetime, Throughput
PDF Full Text Request
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