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
La prolifération des recherches sur la détection et le suivi de cibles dans les réseaux de capteurs sans fil a suscité le développement de la surveillance continue d'objets tels que les incendies et la diffusion de matières biochimiques dangereuses. Dans cet article, nous proposons un algorithme économe en énergie qui surveille une région d'événements en mouvement en sélectionnant uniquement un sous-ensemble de nœuds proches des limites des objets. Le document montre également que nous pouvons réduire efficacement la taille des messages de rapport. Il est vérifié à l'aide de résultats d'analyse de performances et de simulation que la taille moyenne totale des messages de rapport ainsi que le nombre de nœuds qui transmettent les messages de rapport au récepteur peuvent être considérablement réduits, en particulier lorsque la densité de nœuds sur le champ de réseau est élevée.
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Jung-Hwan KIM, Kee-Bum KIM, Sajjad Hussain CHAUHDARY, Wencheng YANG, Myong-Soon PARK, "DEMOCO: Energy-Efficient Detection and Monitoring for Continuous Objects in Wireless Sensor Networks" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 11, pp. 3648-3656, November 2008, doi: 10.1093/ietcom/e91-b.11.3648.
Abstract: The proliferation of research on target detection and tracking in wireless sensor networks has kindled development of monitoring continuous objects such as fires and hazardous bio-chemical material diffusion. In this paper, we propose an energy-efficient algorithm that monitors a moving event region by selecting only a subset of nodes near object boundaries. The paper also shows that we can effectively reduce report message size. It is verified with performance analysis and simulation results that total average report message size as well as the number of nodes which transmit the report messages to the sink can be greatly reduced, especially when the density of nodes over the network field is high.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.11.3648/_p
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@ARTICLE{e91-b_11_3648,
author={Jung-Hwan KIM, Kee-Bum KIM, Sajjad Hussain CHAUHDARY, Wencheng YANG, Myong-Soon PARK, },
journal={IEICE TRANSACTIONS on Communications},
title={DEMOCO: Energy-Efficient Detection and Monitoring for Continuous Objects in Wireless Sensor Networks},
year={2008},
volume={E91-B},
number={11},
pages={3648-3656},
abstract={The proliferation of research on target detection and tracking in wireless sensor networks has kindled development of monitoring continuous objects such as fires and hazardous bio-chemical material diffusion. In this paper, we propose an energy-efficient algorithm that monitors a moving event region by selecting only a subset of nodes near object boundaries. The paper also shows that we can effectively reduce report message size. It is verified with performance analysis and simulation results that total average report message size as well as the number of nodes which transmit the report messages to the sink can be greatly reduced, especially when the density of nodes over the network field is high.},
keywords={},
doi={10.1093/ietcom/e91-b.11.3648},
ISSN={1745-1345},
month={November},}
Copier
TY - JOUR
TI - DEMOCO: Energy-Efficient Detection and Monitoring for Continuous Objects in Wireless Sensor Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 3648
EP - 3656
AU - Jung-Hwan KIM
AU - Kee-Bum KIM
AU - Sajjad Hussain CHAUHDARY
AU - Wencheng YANG
AU - Myong-Soon PARK
PY - 2008
DO - 10.1093/ietcom/e91-b.11.3648
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2008
AB - The proliferation of research on target detection and tracking in wireless sensor networks has kindled development of monitoring continuous objects such as fires and hazardous bio-chemical material diffusion. In this paper, we propose an energy-efficient algorithm that monitors a moving event region by selecting only a subset of nodes near object boundaries. The paper also shows that we can effectively reduce report message size. It is verified with performance analysis and simulation results that total average report message size as well as the number of nodes which transmit the report messages to the sink can be greatly reduced, especially when the density of nodes over the network field is high.
ER -