A favorable technique is using directional antennas for highspeed wireless personal area networks and local.A new MAC protocol for wireless ad hoc networks which is referred to as New deafness-aware MAC(NDA-MAC) is proposed in this paper. There are many directional MAC protocols which have been proposed, but have not broadly solved the problem of deafness. We are proposing NDA-MAC protocol which can differentiate the deafness problem from collisions by using control channels and logical data.so we are providing a discrete-time Markov chain model for analyzing the deafness impact for both DA-MAC and the current technique. By wide simulations we are showing our NDA-MAC protocol can expressively perform the other current techniques with respect to the duration of deafness , throughput , transmission fairness and energy consumption. Mainly Ad-hoc networks are suffering from hidden nodes(terminals) problem ,leading to the problem of the nodes which are hidden (terminals), which indicates to Spartan degradation in network throughput. A survey of this which will give a basic idea of MAC protocols which will directly or indirectly indicate this problem .The mentioned protocols are set in various for giving the reader a detail understanding for the growth made in types and are discussed in detail. To provide the reader a bottomless understanding for the progress done in enhancing the hidden node problem as well as a detailed comparison of various protocols are shown.
Reduction in radio interference & improvement in communication throughput we can achieve by the use of directional antennas in wireless Adhoc network..Deafness & new hidden terminal problem causes a degradation in performance, which is introduced by directional antennas in wireless media access control. To solve these problems we can propose some protocols like circular RTR directional mac protocol to solve the above problems. We can evaluate the results of these protocols by simulation.
Error correction codes are used in digital communication system when channel is noisy. An error correction code removes errors induced in communication and make possible error free transmission. By use of such error correction codes signals can be sent at lower transmit power as compared to uncoded system. Convolutional code corrects both type of errors random and burst and used in deep space and wireless communication. This paper introduces convolutional encoders for various code rates and generator polynomials and calculates BER performance for coded and un-coded system. Generator polynomials were selected for code rate 1/2, 1/3, and 1/4 on the basis of BER performance. Signal power consumption gain was calculated by convolutional code as compared to un-coded system.
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