Research On Redundancy Coding And Routing Decision Strategy For Wireless Sensor Networks

With the development of Internet of things(IoT)and "Internet Plus ",as the sensory nervous system of Internet of things and "Internet Plus",wireless sensor networks will inevitably reach an unprecedented level of development.At the same time of the development of IoT and "Internet Plus ",the research on wireless sensor networks is becoming more and more urgent,especially the reliability of data transmission in wireless sensor networks.For the wireless sensor network research and application,the core is actually that data is effectively and reliably transmitted to the designated destination using the lowest cost.However,due to the low processing power,low power consumption,low cost and limited energy and other factors of wireless sensor networks,which has brought great challenges to the related research and designation,especially in the lowest cost of network resources,to effectively improve the wireless sensor network data transmission reliability.Although there are a lot of solutions for related problems with wireless sensor networks,none of the existing literature can be applied to all scenarios and applications,and there are still a lot of difficulties to be solved.For instance:1.For a radio channel that is susceptible to interference,we lack a fast and accurate low cost link quality estimation method which can be applied to a wireless sensor network.2.For the reliability of wireless channel data transmission,we need a redundant coding scheme which can be applied to wireless sensor networks with high robustness,low latency and low power consumption,and can adaptively adjust redundancy according to the radio link quality.3.Routing protocol is one of the most important key issues in wireless sensor networks.For the constraints of the characteristics of wireless sensor networks,we need an effective and reliable routing protocol for fast link estimation under the premise of ensuring data transmission reliability,to improve the wireless sensor network overall performance.In view of some existing problems in wireless sensor networks,this paper mainly studies these three aspects: link quality estimation,redundant coding and energy efficient reliability routing.The main contents and innovations of the thesis are summarized as follows:(1)Based on the development of the hardware platform,the performance of the wireless sensor network is tested and the data of the test results are analyzed and processed.In this article,a WSN link quality estimation method based on the Ornstein-Uhlenbeck model is proposed.The method includes mapping a radio link quality estimate based on the physical quantity RSSI and evaluating the channel quality using the packet success rate(PSR)directly which is obtained based on a logistic growth curve function.Through the simulation and experimental verification,the proposed method effectively estimates and predicts the link quality of the wireless channel,which lays the foundation for the follow-up reliability research.(2)Aiming at the reliability of data transmission,a reliability strategy of wireless sensor network is proposed based on Reed-Solomon redundancy coding.The scheme combines the Vandermonde matrix with the unit matrix as a coding matrix,which effectively reduces the complexity of the algorithm.In terms of redundancy,combined with the results of the aforementioned research,it is possible to accurately predict the amount of redundancy at the next moment and make full use of the network's channel and energy resources.In order to improve the robustness of the channel data effectively,an error checking mechanism is proposed to improve the reliability of the network data for the sudden interference of wireless link.Finally,we verify the proposed method and compare to the existing methods.The results show that the proposed algorithm has a significant improvement in data transmission reliability.(3)In addition to the above-mentioned PSR-based reliability data transmission mechanism,we also propose a wireless sensor network data transmission reliability mechanism based on the error rate-based Redundancy Resident Number System(RRNS).In this method,we propose a novel decoding method,which effectively reduces the complexity of the algorithm.In order to effectively improve the robustness of the channel data,we combine the method with the error checking mechanism for the sudden interference problem of the wireless sensor network,so that it can improve the reliability of the data transmission.At the same time,we compare and analyze the proposed method with the existing methods to verify the effectiveness and performance.(4)For the issue of network data reliability,in order to improve the efficient and reliable of data exchange,we propose an energy-efficient and reliable expected transmission count routing decision strategy for wireless sensor network.The decision strategy uses two physical quantities RSSI and the remaining node energy as decision factors,respectively,in which the physical RSSI is used to combine the Ornstein-Uhlenbeck prediction model for link quality estimation.This method improves the reliability of the network data and the effectiveness of the network energy,reduces the end-to-end transmission latency,and prolongs the lifetime of the network.In addition,in order to verify the effect of this method,we use NS-2.35 to simulate the proposed strategy and compare it with the existing protocols to verify the effect and performance of the proposed method.This paper mainly focuses on the reliability of data transmission in wireless sensor networks and presents the corresponding solutions from these three key technologies,such as wireless link quality estimation,redundancy coding and energy balance reliability routing,respectively.At the same time,the paper also designs and validates the proposed method,and improves the overall performance of the wireless sensor network on the basis of guaranteeing the reliability of data transmission.