Energy-accuracy aware active node selection in wireless sensor networks / L. I. Khudonogova, S. V. Muravyov (Murav’ev)

Основной Автор-лицо: Khudonogova, L. I., specialist in the field of informatics and computer technology, Engineer of Tomsk Polytechnic University, 1989-, Ludmila IgorevnaАльтернативный автор-лицо: Muravyov (Murav’ev), S. V., specialist in the field of control and measurement equipment, Professor of Tomsk Polytechnic University,Doctor of technical sciences, 1954-, Sergey VasilyevichКоллективный автор (вторичный): Национальный исследовательский Томский политехнический университет (ТПУ), Институт кибернетики (ИК), Кафедра информатики и проектирования систем (ИПС)Язык: английский.Резюме или реферат: One of the main issues in wireless sensor networks (WSNs) is energy conservation due to limited power of sensor node battery. To save energy, WSNs operate in duty-cycling work mode, when the sensor nodes alternate between active and dormant states. In this paper, we propose an active node set selection algorithm (ANSS), based on preference aggregation. The aim of the algorithm is to reduce the number of active sensor nodes, thus decreasing energy consumption while keeping required measurement accuracy level. Nodes, included in the active node set, are selected on the base of such parameters as energy consumption, distance to a cluster head, and multisensor general accuracy..Примечания о наличии в документе библиографии/указателя: [References: 6 tit.].Тематика: электронный ресурс | труды учёных ТПУ | сенсорные сети | экологический мониторинг Ресурсы он-лайн:Щелкните здесь для доступа в онлайн
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[References: 6 tit.]

One of the main issues in wireless sensor networks (WSNs) is energy conservation due to limited power of sensor node battery. To save energy, WSNs operate in duty-cycling work mode, when the sensor nodes alternate between active and dormant states. In this paper, we propose an active node set selection algorithm (ANSS), based on preference aggregation. The aim of the algorithm is to reduce the number of active sensor nodes, thus decreasing energy consumption while keeping required measurement accuracy level. Nodes, included in the active node set, are selected on the base of such parameters as energy consumption, distance to a cluster head, and multisensor general accuracy.

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