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Research On Opportunistic Transmission Mechanism In Mobile Crowd Sensing

Posted on:2019-11-05Degree:MasterType:Thesis
Country:ChinaCandidate:Q L WangFull Text:PDF
GTID:2428330566967000Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
Mobile crowd sensing is developed on the basis of increasingly powerful sensing capabilities of mobile devices and the rapid development of communication technologies.Compared to traditional static sensor networks,it can use ubiquitous mobile devices for sensing and transmission activities.Wider coverage and larger populations of sensing can overcome inaccuracies in individual data and susceptibility to noise pollution.The users in crowd sensing not only serve as consumers of data but also can be producers of data at the same time.The overall participation is higher.Therefore,during the data transmission,it is necessary to accelerate the transmission process with the characteristics of mobile group intelligence.The holder of a mobile device is usually a person,and the mobility that the person himself has can generate more opportunities for encounter with other devices holder.How to make full use of these encounter opportunities to carry out data forwarding is a key issue.Typically,mobile devices are for data transmission via a cellular network or WiFi access to the Internet,but in some cases,may not be connected to the network by using these methods,for example,when we could not find available WiFi access points,or in remote areas where communication facilities are not well-established,cannot connect to cellular networks,and disasters may result in poor network coverage.In order to be able to transmit data under the above conditions,we can take the opportunity of data transmission,which can not only reduce the dependence of the data transmission process on the communication infrastructure,but also save the user's traffic to some extent,and reduce the cellular network.pressure.Opportunity data forwarding mainly uses the opportunity for the nodes to communicate with each other.The communication link of nodes is often not established,and the data needs to be forwarded while routing.In this case,the transmission method of “storage-carry-forward” is required.The data is carried by the node and waits for the arrival of the next transmission opportunity,and finds the best next hop forwarding node to improve the transmission performance.In recent years,Many researchers are committed to the research of opportunistic routing.The design of routing using the various attributes possessed by nodes is a key research point.Therefore,this paper conducts in-depth research on the above issues,and proposes a data forwarding algorithm based on node competition.The algorithm sets competition objectives,including the attributes of the data to be forwarded,the competitiveness evaluation criteria,and compensation for resource consumption of nodes in the forwarding process,thereby attracting more nodes to participate in the process of competition and forwarding,and submitting the competitiveness calculation of the node by the nodes participating in the competition,so as to avoid the complex calculation by a single node,and finally return the participation willingness and competitiveness value to the node that holds the data to be forwarded,and forward the data to the best contending node until the data is transmitted to the destination node.In this paper,the simulation software ONE was used to simulate the proposed algorithm,and compared with some classical algorithms in the opportunistic route.The experimental results show that the proposed algorithm can reduce the large number of calculations when selecting the next-hop node,mobilizing the nodes to participate by giving the participating nodes a certain amount of compensation,thereby accelerating the data forwarding process and improving the success rate of message transmission.
Keywords/Search Tags:crowd sensing, mobility, opportunistic routing, node competition, data forwarding
PDF Full Text Request
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