The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
O rastreamento de alvos é uma das principais aplicações das Redes de Sensores Sem Fio (RSSFs) que constitui a base para inúmeras outras aplicações. Os procedimentos gerais de rastreamento de alvos envolvem detecção, localização e rastreamento de alvos. Devido às restrições de recursos das RSSFs (especialmente energia), é altamente desejável que o rastreamento do alvo seja feito envolvendo o menor número possível de nós sensores. Devido ao comportamento incerto do alvo e aos padrões de mobilidade resultantes, este objetivo torna-se mais difícil de alcançar sem prever as localizações futuras do alvo. A presença de um mecanismo de previsão pode permitir a ativação apenas dos sensores relevantes ao longo do curso futuro, antes de o alvo atingir a localização futura. Esta ativação prévia contribui para aumentar a vida útil geral das redes de sensores, permitindo que nós não relevantes durmam. Neste artigo, primeiro, apresentamos um protocolo wAkeup do sensor com reconhecimento de taxa de guinada (YAP) para a previsão de locais alvo futuros. Em segundo lugar, apresentamos melhorias no desenho do YAP através da incorporação da adaptabilidade. Os esquemas propostos são de natureza distributiva e selecionam sensores relevantes para determinar a trajetória alvo. O desempenho do YAP e do A-YAP também é discutido em diferentes padrões de mobilidade, o que confirma a eficácia do algoritmo.
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Muhammad Taqi RAZA, Zeeshan Hameed MIR, Ali Hammad AKBAR, Seung-Wha YOO, Ki-Hyung KIM, "Adaptive Yaw Rate Aware Sensor Wakeup Schemes Protocol (A-YAP) for Target Prediction and Tracking in Sensor Networks" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 11, pp. 3524-3533, November 2008, doi: 10.1093/ietcom/e91-b.11.3524.
Abstract: Target tracking is one of the key applications of Wireless Sensor Networks (WSNs) that forms basis for numerous other applications. The overall procedures of target tracking involve target detection, localization, and tracking. Because of the WSNs' resource constraints (especially energy), it is highly desired that target tracking should be done by involving as less number of sensor nodes as possible. Due to the uncertain behavior of the target and resulting mobility patterns, this goal becomes harder to achieve without predicting the future locations of the target. The presence of a prediction mechanism may allow the activation of only the relevant sensors along the future course, before actually the target reaches the future location. This prior activation contributes to increasing the overall sensor networks lifetime by letting non-relevant nodes sleep. In this paper, first, we introduce a Yaw rate aware sensor wAkeup Protocol (YAP) for the prediction of future target locations. Second, we present improvements on the YAP design through the incorporation of adaptability. The proposed schemes are distributive in nature, and select relevant sensors to determine the target track. The performance of YAP and A-YAP is also discussed on different mobility patterns, which confirms the efficacy of the algorithm.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.11.3524/_p
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@ARTICLE{e91-b_11_3524,
author={Muhammad Taqi RAZA, Zeeshan Hameed MIR, Ali Hammad AKBAR, Seung-Wha YOO, Ki-Hyung KIM, },
journal={IEICE TRANSACTIONS on Communications},
title={Adaptive Yaw Rate Aware Sensor Wakeup Schemes Protocol (A-YAP) for Target Prediction and Tracking in Sensor Networks},
year={2008},
volume={E91-B},
number={11},
pages={3524-3533},
abstract={Target tracking is one of the key applications of Wireless Sensor Networks (WSNs) that forms basis for numerous other applications. The overall procedures of target tracking involve target detection, localization, and tracking. Because of the WSNs' resource constraints (especially energy), it is highly desired that target tracking should be done by involving as less number of sensor nodes as possible. Due to the uncertain behavior of the target and resulting mobility patterns, this goal becomes harder to achieve without predicting the future locations of the target. The presence of a prediction mechanism may allow the activation of only the relevant sensors along the future course, before actually the target reaches the future location. This prior activation contributes to increasing the overall sensor networks lifetime by letting non-relevant nodes sleep. In this paper, first, we introduce a Yaw rate aware sensor wAkeup Protocol (YAP) for the prediction of future target locations. Second, we present improvements on the YAP design through the incorporation of adaptability. The proposed schemes are distributive in nature, and select relevant sensors to determine the target track. The performance of YAP and A-YAP is also discussed on different mobility patterns, which confirms the efficacy of the algorithm.},
keywords={},
doi={10.1093/ietcom/e91-b.11.3524},
ISSN={1745-1345},
month={November},}
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TY - JOUR
TI - Adaptive Yaw Rate Aware Sensor Wakeup Schemes Protocol (A-YAP) for Target Prediction and Tracking in Sensor Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 3524
EP - 3533
AU - Muhammad Taqi RAZA
AU - Zeeshan Hameed MIR
AU - Ali Hammad AKBAR
AU - Seung-Wha YOO
AU - Ki-Hyung KIM
PY - 2008
DO - 10.1093/ietcom/e91-b.11.3524
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2008
AB - Target tracking is one of the key applications of Wireless Sensor Networks (WSNs) that forms basis for numerous other applications. The overall procedures of target tracking involve target detection, localization, and tracking. Because of the WSNs' resource constraints (especially energy), it is highly desired that target tracking should be done by involving as less number of sensor nodes as possible. Due to the uncertain behavior of the target and resulting mobility patterns, this goal becomes harder to achieve without predicting the future locations of the target. The presence of a prediction mechanism may allow the activation of only the relevant sensors along the future course, before actually the target reaches the future location. This prior activation contributes to increasing the overall sensor networks lifetime by letting non-relevant nodes sleep. In this paper, first, we introduce a Yaw rate aware sensor wAkeup Protocol (YAP) for the prediction of future target locations. Second, we present improvements on the YAP design through the incorporation of adaptability. The proposed schemes are distributive in nature, and select relevant sensors to determine the target track. The performance of YAP and A-YAP is also discussed on different mobility patterns, which confirms the efficacy of the algorithm.
ER -