Performance Comparison of MANET based on Data Rate and Packet Loss using Fuzzy Logic Controller
Mobile ad-hoc networks consist of mobile nodes. These nodes do not follow any particularly topology. Now days many humans are dependent on internet for their daily chores but congestion is one of the major issues, which affect the data network. Real time multimedia applications have come into existence like audio, video etc. So, the congestion problem is also increasing. Thus, in order of control congestion, various schemes have developed. In this research paper, fuzzy based congestion control approach in wireless network detects and avoids congestion by developing the ad-hoc fuzzy rules as well as membership functions. In this concept, two parameters have been used as the sign of congestion: (a) Channel load; (b) The size of queue within intermediate nodes. These parameters constitute the input to fuzzy congestion control (FCC). The output of this FCC (sending rate, Packet Loss) derives from the conjunction with fuzzy rules base. The congestion is controlled by sending rate and packet loss. The parameters used are: input channel load, queue length which is produced, the sending rate and packet loss output in fuzzy logic. The simulation results reveal that usage of fuzzy congestion controller has reduced packet-loss comparing with Qual Net. It has also increased throughput and saving energy.
Keywords: Congestion control, fuzzy logic, load, Qual net, membership function
Cite this Article
Aarti Sahu, Laxmi Shrivastava. Performance Comparison of MANET based on Data Rate and Packet Loss using Fuzzy Logic Controller. Journal of Mobile Computing, Communications & Mobile Networks. 2017; 4(3): 25–33p.
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