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Research On Clustering Protocol Based On Energy Consumption And Time Optimization In Underwater Ad Hoc Networks

Posted on:2022-01-20Degree:MasterType:Thesis
Country:ChinaCandidate:R HuangFull Text:PDF
GTID:2518306350483134Subject:Electronic and Information Engineering
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The ocean occupies most of the earth,but it has not been effectively exploited in the past due to technical constraints.In recent years,with the rapid development of science and technology,the birth of many new technologies makes the exploration of the ocean,and due to the requirements of marine resources development and the development of marine military,underwater acoustic communication has been paid more and more attention.Underwater sensor network has become the focus of research in various countries because it can obtain and exchange information on a large scale.As the operation algorithm of the whole underwater acoustic network,network communication protocol plays a crucial role in the overall performance of the network.In view of the complex operation environment of underwater acoustic network system and the high cost of node placement,the design and performance evaluation of the operation protocol in the simulation software can save the cost well before the deployment of nodes in the underwater field.This paper makes a special research based on the clustering protocol in underwater ad hoc network.According to the requirements of energy consumption and system running time of underwater sensor network,this paper designs a clustering hierarchical network,which divides the whole network into two structures: in cluster and out of cluster.According to the underwater acoustic network structure,this paper constructs the network from MAC layer and network layer,and selects the appropriate protocol for each layer,So it can better adapt to underwater and clustering structure.In this paper,we first study the four commonly used MAC protocols and simulate them on NS3 software.Then we evaluate the four protocols according to different performance evaluation standards,and choose the two most suitable protocols for further improvement.According to the running effect,TDMA protocol is selected to improve the communication between nodes in the cluster,and Macaw protocol is selected to improve the communication between nodes in the cluster.Aiming at the traditional TDMA protocol,the time slot allocation method is improved from fixed allocation to dynamic allocation.The pseudo-random number generator drives the node to schedule randomly.The time slot is divided into update and communication interval,and the information transmission is determined by the exchange of neighbor node state information.For Macaw protocol,the priority of the sending node is defined,and the number of repeat RTS frames is reduced by specifying the priority queue.The improvement of the two protocols can reduce the transmission delay and ensure the throughput at the same time.Secondly,this paper proposes an improved g-leach algorithm based on LEACH in the network layer,which improves the traditional LEACH protocol's disadvantages such as uneven spatial distribution of cluster heads and only one hop communication.Combined with the node energy model and transmission characteristics of underwater sensor network,an algorithm is designed to improve the protocol.By comparing the performance of other traditional protocols under three evaluation criteria: the impact of node increase on network lifetime,the average lifetime of the whole network and the average residual energy of nodes in the network with the increase of the number of running cycles,the improvement of energy consumption and the overall running time of the system are evaluated,The improved protocol has stability in underwater sensor networks,can significantly improve the overall network lifetime,and greatly improve the network performance.It reduces the energy consumption in the network and improves the running time of the system.
Keywords/Search Tags:underwater ad hoc network, hierarchical clustering routing protocol, low power adaptive clustering layered protocol, ant colony algorithm
PDF Full Text Request
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