Performance Analysis of FANET Data Rate and Drop Probability
Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.7, No. 5)Publication Date: 2018-05-30
Authors : Aarti Sahu; Laxmi Shrivastava;
Page : 130-139
Keywords : Fuzzy logic Controller; load; drop Probability Qual net; Membership function;
Abstract
In recent year, the capacity and part of Mobile Ad hoc Networks has quickly developed. Their utilization in the situations of emergency, in the case of natural disaster, military battle fields and UAVs is getting extremely main stream because of cutting edge Technologies in networking and communication. Taking the MANET technology as the base has helped in the evolvement of new technologies like FANET and VANET. FANET (Flying A-hoc Networks) is another concept if contrasted with MANET with the capacities to handle situations where traditional MANET can't do as such. And furthermore we will discuss about the comparison and design consideration of FANET. In this research paper based fuzzy logic control approaches in wireless network detects & avoids congestion by developing the ad-hoc fuzzy rules as well as membership functions.In this concept, two parameters have been used : a) Channel load b) The size of queue within intermediate nodes. These parameters constitute the input to Fuzzy logic controller (FLC). The output of this FLC (sending rate, Drop probability) derives from the conjunction with Fuzzy Rules Base. The parameter used input channel load, queue length which are produce the sending rate and Drop probability output in fuzzy logic.The simulation results reveal that usage of Qual Net 6.1 simulator has reduced packetloss comparing with fuzzy logic controller.
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Last modified: 2018-06-05 00:31:38