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Offloading Positioning onto Network Edge
المؤلفون المشاركون
Santa, José
Sanchez, Ramón
Fernández, Pedro J.
Ortiz, Jordi
Gómez-Skarmeta, Antonio F.
المصدر
Wireless Communications and Mobile Computing
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-10-23
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
While satellite or cellular positioning implies dedicated hardware or network infrastructure functions, indoor navigation or novel IoT positioning techniques include flexible storage and computation requirements that can be fulfilled by both end-devices or cloud back-ends.
Hybrid positioning systems support the integration of several algorithms and technologies; however, the common trend of delegating position calculation and storage of local geoinformation to mobile devices or centralized servers causes performance degradation in terms of delay, battery usage, and waste of network resources.
The strategy followed in this work is offloading this computation effort onto the network edge, following a Mobile Edge Computing (MEC) approach.
MEC nodes in the access network of the mobile device are in charge of receiving navigation data coming from both the smart infrastructure and mobile devices, in order to compute the final position following a hybrid approach.
With the aim of supporting mobility and the access to multiple networks, an Information Centric Networking (ICN) solution is used to access generic position information resources.
The presented system currently supports WiFi, Bluetooth LE, GPS, cellular and NFC technologies, involving both indoor and outdoor positioning, using fingerprinting and proximity for indoor navigation, and the integration of smart infrastructure data sources such as the door opening system within real smart campus deployment.
Evaluations carried out reveal latency improvements of 50%, as compared with a regular configuration where position fixes are computed by mobile devices; at the same time the MEC solution offers extra flexibility features to manage positioning databases and algorithms and move extensive computation from constrained devices to the edge.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Santa, José& Fernández, Pedro J.& Sanchez, Ramón& Ortiz, Jordi& Gómez-Skarmeta, Antonio F.. 2018. Offloading Positioning onto Network Edge. Wireless Communications and Mobile Computing،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1216263
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Santa, José…[et al.]. Offloading Positioning onto Network Edge. Wireless Communications and Mobile Computing No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1216263
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Santa, José& Fernández, Pedro J.& Sanchez, Ramón& Ortiz, Jordi& Gómez-Skarmeta, Antonio F.. Offloading Positioning onto Network Edge. Wireless Communications and Mobile Computing. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1216263
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1216263
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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