2015 International Conference on Smart Sensors and Application (ICSSA)最新文献

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Adaptive-PCA: An event-based data aggregation using principal component analysis for WSNs 自适应主成分分析:一种基于事件的数据聚合方法

2015 International Conference on Smart Sensors and Application (ICSSA) Pub Date : 2015-05-26 DOI: 10.1109/ICSSA.2015.7322509

Patcharapol Poekaew, P. Champrasert

{"title":"Adaptive-PCA: An event-based data aggregation using principal component analysis for WSNs","authors":"Patcharapol Poekaew, P. Champrasert","doi":"10.1109/ICSSA.2015.7322509","DOIUrl":"https://doi.org/10.1109/ICSSA.2015.7322509","url":null,"abstract":"Dimensionality reduction techniques are convenient for data aggregation to reduce battery energy consumption in sensor nodes. Normally, principal component analysis (PCA), a dimensionality reduction technique, has been used for data aggregation in WSNs. However, PCA yields to data errors when the sensing data are not related. The PCA processing time is also an issue in an urgent situation that the sensing data are required to be transmitted to the base station instantly. This paper proposes a novel data aggregation mechanism for WSNs, called Adaptive-PCA. In Adaptive-PCA, PCA is performed dynamically based on the sensing data. In a normal situation, PCA is performed for data aggregation to reduce the number of transmitted packets. On the other hand, in an urgent situation, sensing data change dramatically, PCA is not performed; the sensing data are transmitted to the base station instantly. Adaptive-PCA consists of two schemes which are 1) event checker and 2) PCA data accuracy checker. These two schemes drive each sensor node whether perform PCA or instantly transmit the sensing data. The simulation results show that Adaptive-PCA adjusts the number of transmitted packets to the environmental changes. Using Adaptive-PCA, the total battery energy consumption is less than that of a traditional WSN. Also, the data accuracy of Adaptive-PCA is higher than that of Non-adaptive-PCA.","PeriodicalId":378414,"journal":{"name":"2015 International Conference on Smart Sensors and Application (ICSSA)","volume":"350 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132797731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

Optimization of multilayer micro channels heat sinks cooling system using genetic algorithm 多层微通道散热系统的遗传算法优化

2015 International Conference on Smart Sensors and Application (ICSSA) Pub Date : 2015-05-26 DOI: 10.1109/ICSSA.2015.7322527

Husain Zaidan, R. Ahmad, N. Ghazali

{"title":"Optimization of multilayer micro channels heat sinks cooling system using genetic algorithm","authors":"Husain Zaidan, R. Ahmad, N. Ghazali","doi":"10.1109/ICSSA.2015.7322527","DOIUrl":"https://doi.org/10.1109/ICSSA.2015.7322527","url":null,"abstract":"Cooling of electronic devices is problematic by its nature simply because of the space restriction. Recent advances in high powered miniaturized electronic systems have come at the expanse of very high heat fluxes that pose challenges to thermal management research. Uncontrolled excessive heat may cause thermal fatigue and stresses and the current micro electro-mechanical cooling systems (MEMS) which utilize the single layer micro channel heat sink, introduced a decade ago, may no longer be an adequate solution. Possible extension of the layer of parallel micro channels into a stacked system, by developing two, three, and multi-layer channel systems are being investigated. The design of all these systems depends on several parameters; coolant type, channel geometry, channel dimensions, and the number of the channels. This paper reports a new model for optimizing the thermal resistance, developed based on specific parameters of the dimensions of the channel, the wall width between the channels, and using water as a coolant at 27°C. The outcomes of the model were compared with other published studies. The results showed that the model is valid and reliable for further studies.","PeriodicalId":378414,"journal":{"name":"2015 International Conference on Smart Sensors and Application (ICSSA)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122088275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

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