A simple and least complex KV transform coding technique with low BER performance at low Eb/No for multi-tiered applications in power and bandwidth constrained MANET/sensor networks
“…Aj j Θ = 2 arcsin(r/ D ) (8) 2 arcsin( / ) Ck k r D Θ = (9) The Euclidean distances and angle of arrivals of reference nodes about the target node are computed as D AB , D CB and AB , CB in equations 10-13. Dynamic switching of reference nodes in PL&T is the assignment of new friendly reference nodes as per requirement when the target node goes out of range from the current reference nodes during localization and tracking.…”
Section: Dynamic Plandt With Two Reference Nodes Equipped With Dirmentioning
confidence: 99%
“…Since multi-path fading forces the tracking operation to be conducted at low Eb/No, it is essential to maintain a bounded BER with an average sustained data transmission rate. Using KV transform, it is possible to interleave discrete samples and allow one out of four discrete samples to be corrected exactly [9], it is expected that the tracking accuracy improves significantly. Figure 11-12 illustrates the tracking accuracy improvement when using KV transform that allows sample interleaving over that of without interleaving.…”
Section: Simulation and Performance Evaluationmentioning
Dynamic Position Location and Tracking (PL&T) is proposed deploying the integrated approach of zone finding and triangulation using two friendly nodes equipped with Steered Directional Antenna (DA) in Mobile Ad hoc Networks (MANET).This approach allows the system to use only two references instead of a typical 3 references for a straight triangulation. Moreover, the performance of the proposed algorithm with references using directional antennas shows significant improvement over triangulation using references with Omnidirectional antennas as the beam power is concentrated. However, dynamic switching of reference nodes is frequently required as the target moves outside the predicted zone. This paper presents a better tracking accuracy in using proposed dynamic PL&T as compared to other PL&T techniques. The multipath fading is also addressed with the use of KV transform coding technique which uses forward error correction and sample interleaving achieves greater than 90% tracking accuracy with BERs of 10 -6 or better.
“…Aj j Θ = 2 arcsin(r/ D ) (8) 2 arcsin( / ) Ck k r D Θ = (9) The Euclidean distances and angle of arrivals of reference nodes about the target node are computed as D AB , D CB and AB , CB in equations 10-13. Dynamic switching of reference nodes in PL&T is the assignment of new friendly reference nodes as per requirement when the target node goes out of range from the current reference nodes during localization and tracking.…”
Section: Dynamic Plandt With Two Reference Nodes Equipped With Dirmentioning
confidence: 99%
“…Since multi-path fading forces the tracking operation to be conducted at low Eb/No, it is essential to maintain a bounded BER with an average sustained data transmission rate. Using KV transform, it is possible to interleave discrete samples and allow one out of four discrete samples to be corrected exactly [9], it is expected that the tracking accuracy improves significantly. Figure 11-12 illustrates the tracking accuracy improvement when using KV transform that allows sample interleaving over that of without interleaving.…”
Section: Simulation and Performance Evaluationmentioning
Dynamic Position Location and Tracking (PL&T) is proposed deploying the integrated approach of zone finding and triangulation using two friendly nodes equipped with Steered Directional Antenna (DA) in Mobile Ad hoc Networks (MANET).This approach allows the system to use only two references instead of a typical 3 references for a straight triangulation. Moreover, the performance of the proposed algorithm with references using directional antennas shows significant improvement over triangulation using references with Omnidirectional antennas as the beam power is concentrated. However, dynamic switching of reference nodes is frequently required as the target moves outside the predicted zone. This paper presents a better tracking accuracy in using proposed dynamic PL&T as compared to other PL&T techniques. The multipath fading is also addressed with the use of KV transform coding technique which uses forward error correction and sample interleaving achieves greater than 90% tracking accuracy with BERs of 10 -6 or better.
“…For 16 QAM OFDM simulation is more precise but Gaussian approximation is less this technique can be use to solve the problem of error correct codes to suppress the ICI caused by CFO. This work is less meaning full than [19] optimizes BER 10 -7 less than 10 dB of SNR but in this work minimum BER 10 -3 is at 16 dB of SNR from Gaussian and BPSK modulation.…”
Section: Table1 Effect Of Nc Technique On Minimum Ber and Power Modumentioning
confidence: 99%
“…K V transform technique [19] 10 -7 at less than 10 dB Such a low BER throughput increase power saving increases.…”
Section: Why Ber Relating To Power In Ad Hoc Wireless Networkmentioning
confidence: 99%
“…Based on block code technique a novel idea of Koay Vaman (KV) transform is discussed in [19] to provide ability to detect errors and correct errors and identifies the remaining errors in block in each of the transmitted packet. By exploiting this property will allow design of BW efficient ad hoc and sensor networks to support provision of multiservice applications.…”
Section: Table1 Effect Of Nc Technique On Minimum Ber and Power Modumentioning
ABSTRACT:Over the last decade, a large number of pioneering works have provided foundations for both theory and applications of Wireless Ad hoc Networks (WLAN). As ad hoc technology is becoming the demand of present and future trends that needs for a reliable communication link having minimum BER and power. This review work presents the impact of mobility, and energy efficiency and clustering on optimization of Bit Error Rate (BER) and power as well as on throughput. An analysis review is made on Network coding scheme to optimize BER and throughput. And finally how these factors vary in WLAN is discussed in conclusion.
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