Congestion Control Algorithm In Wireless Sensor Network

Wireless sensor network is deployed in the monitoring area by the large number of low-cost micro sensor nodes, wireless communication through the formation of a multi-hop Ad Hoc networks. This is a large scale, distributed systems without human intervention. Wireless sensor networks will be following in the21st century internet can post another way of life and quality of the human major role in the new communication technologies. Different time with the internet, WSN will change every aspect of people’s lives, internet is changing the way of communication between people, and WSN real world and virtual information will be integrated into the world together, this will change the human and the external environment Mode of action, it will give the development of human society and nature to bring an immeasurable impact.Although wireless sensor network applications is very wide, but with further research also found there are some studies WSN network difficulties and bottlenecks. For example, this article will talk about congestion. WSN and traditional sensor networks, or it can be said in the broadest sense, including the Internet network or the network of things such as traditional network or the network is being developed as the network communication process, or if a certain node in the network load is too large or overloading the network is instantaneous, making the terminal node or intermediate node drops packets generated congestion status, which will cause the entire network of communication and may even decrease the efficiency of transmission of partial paralysis and even crash the entire network status.In this paper, a new method is presented to overcome congestion causes. Actually this is a hop-by-hop rate control approach. In our method, queue length of the nodes is monitored continuously. Then, based on a fuzzy inference system, admissible rate for upstream nodes is calculated based upon sensor nodes constraints. This method is simple and adaptable to network conditions. Simulation results show an improvement in the network functionality such as higher utilization, throughput and smaller delay compared to IEEE802.11.This article focuses on wireless sensor network architecture and composition are introduced. Including the composition of cable sensor networks, wireless sensor network architecture, wireless sensor network communication, wireless sensor network characteristics.First introduced the wireless sensor network congestion problems related concepts, principles. Then analyzes the congestion control technology requirements, and finally introduced the congestion detection and congestion are the key technologies. Then describes the commonly used rate-based regulation and flow-based scheduling congestion control strategy. Rate-based regulation approach focuses on include ESRT algorithm, CODA method, Fusion methods, based on traffic scheduling method introduces the ARC agreement, Siphon method, CAR agreement, BGR agreement.Then also proposed a fuzzy control strategy based on sending and receiving and dynamic window congestion control mechanisms. This chapter first describes the design method should be noted, including monitoring principle, the principle back, etc.; then gives a vague description of congestion control-related algorithms; final adoption of mathematical proof and simulation experiments verify the performance of the proposed algorithm.Finally, the study of the full-text content of the summary, and prospects of further research projects...