10.14489/vkit.2015.010.pp.018-022

DOI: 10.14489/vkit.2015.010.pp.018-022

Намиот Д. Е., Шнепс-Шнеппе М. А.
КОНТЕКСТНО-ЗАВИСИМЫЕ СЕРВИСЫ НА БАЗЕ БЕСПРОВОДНЫХ ТЕГОВ
(с. 18-22)

Аннотация. Рассмотрены вопросы разработки контекстно-зависимых сервисов, базирующихся на использовании беспроводных тегов. Предложена новая модель применения Core Bluetooth устройств, в которой одного мобильного приложения достаточно для поддержки всех этапов жизненного цикла контекстных сервисов. Приложение обеспечивает создание тега, привязку к нему информационного наполнения и просмотр данных, привязанных к другим тегам. Возможные области применения − приложения для информирования мобильных пользователей (посетителей) в помещениях.

Ключевые слова: контекстно-зависимые сервисы; Bluetooth; беспроводные теги; сетевая близость.

Namiot D. Е., Sneps-Sneppe M. A.
CONTEXT-AWАRE SERVICES BASED ON WIRELESS TAGS
(pp. 18-22)

Abstract. The article discusses the development of context-aware services based on the use of wireless tags. As a fundamentally new feature, we suggest using the existing wireless network nodes as wireless tags. In particular, our model uses Wi-Fi access points and mobile phones with Bluetooth. For Bluetooth devices, our model proposes a new deployment model for context-aware services. Also, it is a new application model for Core Bluetooth systems. In our model, any device with Bluetooth support can act as a tag with some user-defined data being associated with. Such a tag can reveal associated data to mobile users in proximity. As a proximity measurement (as a main context characteristic) we use network proximity. As a mobile tag in our model, we can use an ordinary smartphone. This feature lets us describe our tags a moveable. For moveable tags, user-defined data snippets associated with this tag will “follow” him too. In order to validate our model, we propose a mobile application for Android platform. This application supports all phases for context-aware services based on network proximity: data definition, data publishing and data access. The possible use cases include indoor based information systems (e.g., retail, proximity marketing) as well as applications for Smart Cities.

Keywords: Context-aware services; Bluetooth; Wireless tags; Network proximity.

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Д. Е. Намиот (Московский государственный университет им. М. В. Ломоносова) E-mail: Этот e-mail адрес защищен от спам-ботов, для его просмотра у Вас должен быть включен Javascript
М. А. Шнепс-Шнеппе (ЗАО «ЦКБ-Абаванет», Москва)

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D. E. Namiot (Lomonosov Moscow State University) E-mail: Этот e-mail адрес защищен от спам-ботов, для его просмотра у Вас должен быть включен Javascript
M. A. Sneps-Sneppe (ZAO CKB Abavanet, Moscow)

+ - Библиографический список (References) Click to collapse

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1. Indoor Wi-Fi Positioning: Techniques and Systems / F. Lassabe et al. // Annals of Telecommunications-annales des Télécommunications. 2009. V. 64. № 9–10. Р. 651 – 664.
2. Namiot D. On Indoor Positioning [Электронный ресурс] // International Journal of Open Information Tech-nologies. URL: http://injoit.org/index.php/j1/article/view/183 (дата обращения: 20.07.2015).
3. Sneps-Sneppe M., Namiot D. Spotique: A New Approach to Local Messaging // Wired / Wireless Internet Communication. Springer Berlin Heidelberg. 2013. V. 7889. С. 192 − 203.
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5. Намиот Д. Е. Мобильные Bluetooth-теги [Элект-ронный ресурс] // International Journal of Open Informa-tion Technologies. URL: http://injoit.org/index.php/j1/article/view/102 (дата обращения: 20.07.2015).
6. Overview and Evaluation of Bluetooth Low Energy: An Emerging Low-Power Wireless Technology / Gomez et al. // Sensors. 2012. V. 12. № 9. Р. 11734 – 11753.
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13. Namiot D., Sneps-Sneppe M. On Mobile Bluetooth Tags [Электронный ресурс]. URL: http://arxiv.org/abs/ 1502.05321 (дата обращения: 20.07.2015).

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1. Lassabe F. et al. (2009). Indoor Wi-Fi positioning: techniques and systems. Annals of Telecommunications-annales des Télécommunications. 2009. 64(9-10), pp. 651-664. doi: 10.1007/s12243-009-0122-1
2. Namiot D. On indoor positioning. International Journal of Open Information Technologies. Available at: http://injoit.org/index.php/j1/article/view/183http://injoit.org/index.php/j1/article/view/183 (Accessed: 20.07.2015).
3. Sneps-Sneppe M., Namiot D. (2013). Spotique: a new approach to local messaging. Wired / Wireless Internet Communication, 7889, pp. 192-203. doi: 10.1007/978-3-642-38401-1_15
4. Namiot D. E. (2014). Personal Bluetooth tags. In-ternational Journal of Open Information Technologies. Available at: http://injoit.org/index.php/j1/article/view/ 84http://injoit.org/index.php/j1/article/view/84 (Accessed: 20.07.2015).
5. Namiot D. E. Mobile Bluetooth tags. International Journal of Open Information Technologies. International Journal of Open Information Technologies. Available at: http://injoit.org/index.php/j1/article/view/102http://injoit.org/index.php/j1/article/view/102 (Accessed: 20.07.2015).
6. Gomez et al. (2012). Overview and evaluation of Bluetooth low energy: an emerging low-power wireless tech-nology. Sensors. 12(9), pp. 11734-11753. doi: 10.3390/s120911734
7. Cavallini A. The Internet of Things: BLE / Beacons / iBeacons Bible 1.0 Available at: http:// meetingof ideas. files. wordpress. com/2013/12/ibeacons-bible-1-0. pdf (Accessed: 20.07.2015).
8. Namiot D., Sneps-Sneppe M. (2014). CAT – Cars as Tags. 7th Intern. Workshop on Communication Technologies for Vehicles (Nets4Cars-Fall 2014). 6 – 8 October 2014, St. Petersburg, Russia, pp. 50-53.
9. Azizyan M., Constandache I., Choudhuryet R. R. (2009). SurroundSense: mobile phone localization via ambi-ence fingerprinting. Proc. of the 15th Annual Intern. Conf. on Mobile Computing and Networking (MOBICOM’09). Beijing, China, 20–25 September 2009, pp. 261-272.
10. Chan E. C. L., Baciu G., Mak S. C. (2009). Using Wi-Fi signal strength to localize in wireless sensor networks. WRI Intern. Conf. on Communications and Mobile Computing (CMC'09). Kunming, Yunnan, China, 6–8 January 2009, Vol. 1, pp. 538-542.
11. Stuart A. The Correlation between variate-values and ranks in samples from a continous distribution. British Journal of Statistical Psychology. 7(1), pp. 37-44.
12. Kjaergaard M. et al. (2012). Mobile sensing of pe-destrian flocks in indoor environments using WiFi signals. Intern. Conf. Pervasive on Computing and Communications (PerCom 2012). 19-23 March 2012, Lugano, Switzerland. 2012, pp. 95-102.
13. Namiot D., Sneps-Sneppe M. On mobile bluetooth tags. Available at: http://arxiv.org/abs/ 1502.05321 (Accessed: 20.07.2015).

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