Research On Routing Strategy Of Wireless Sensor Networks Based On IPv6

Wireless Sensor Networks(WSNs)is an important part of the Internet of Things(Io Ts)perception layer,it consists of a large number of sensor nodes equipped with information sensing,data processing and communication transmission.It can collect real-time physical information through decentralized sensor nodes in the environment,and send data to the base station or user terminal in the form of Ad-hoc network and multiple-hops relay.With the rapid development of WSNs,the trend of scale effect and application diversification has made the interconnection between WSNs and other networks become a hot topic.IP architecture,as a mature network,can realize data transmisson and application exspansion.Therefore,the seamless integration between WSNs and IP networks is the inevitable trend.6LoWPAN(IPv6 over Low-Power Wireless Personal Area Networks)adaptive layer is the key technology to integrate IPv6 network with WSNs,which is an ideal solution for the point-to-point communication between WSNs and IPv6 networks,with the low-power consumption characteristics of the low-speed wireless personal area network protocol IEEE 802.15.4,and the advantages of IPv6's 128-bit address bits and stateless address configuration mechanism.Due to the limited resources of WSNs,high-complexity traditional routing protocols can not be applied in it directly.Therefore,efficient use of energy from the perspective of WSNs is the primary principle in WSNs routing strategy.How to establish energy-efficient and balanced routing strategy is the focus of this article.This dissertation focuses on the energy optimization routing algorithm in the 6Lo WPAN sensor networks.The related research work includes the following aspects:(1)By referring to domestic and foreign related literature,this paper summarizes the model definition,network characteristics,key technologies and specific application scenarios of WSNs.By comparing and analyzing different WSNs routing strategies,it comes to a conclusion that the overall goal of WSNs routing algorithm is to save and balance node energy consumption and maximize network lifetime.(2)The 6Lo WPAN adaptation layer technology is devoted to studying how to make theIPv6 protocol run on the IEEE 802.15.4 protocol,so that the sensor nodes can access the Internet in a unified IPv6 way and realize point-to-point communication.Analysis of6 Lo WPAN layer address allocation,fragment reassembly,header compression and compression,and address configuration.With the aid of Contiki IoT operating system and6 LBR border routing solution,the unification sensor nodes IPv6 addressing and implements the end-to-end communication are both completed.(3)Analyzes and summarizes the common hierarchical clustering routing algorithm,with low-power consumption of lossy network IPv6 routing protocols-RPL Routing Protocol as the foundation,in view of the RPL routing protocol under the network overall load imbalance and fault tolerance,this paper proposes a non-uniform density clustering routing algorithm based on RPL,simulation experiments are done for comparative analysis of the performance of the algorithm.(4)In IPv6 environment,combined with RPL heterogeneous density clustering routing protocol,we design an Io Ts application platform towards smart home based on 6LoWPAN,including 6LoWPAN sensor nodes,Linux-embedded border gateway management system and the host computer management system to achieve real-time monitoring of the home environment,and the study of the routing strategy for network is tested and verified.The main contributions of this paper are as follows:Aiming at the shortage of 6Lo WPAN RPL routing protocol,a clustering routing algorithm based on heterogeneous density of RPL is proposed.Based on the T-norm operator in fuzzy mathematics,the cluster head is selected reasonably considering the distance factor,the remaining energy of the node and the quality of the link.The non-uniform density clusters are achieved according to the distance between the sensing node and the Sink node.Based on the minimum cost function of greedy algorithm,the relay node is selected to find out the optimal path so as to balance the network energy and extend the network life cycle.