Enriching WSN environment with context information

• Autorzy: Konieczny M.
• Języki publikacji: EN

Abstrakty

EN

Currently the Internet of Things environment suffer from a variety of unique problems such as low throughput, inadequate support for mobility and notcompatible (and often close) application environments. However, characteristic of physical environment often provides opportunities to address these problems. This paper explores concepts of enriching the WNS environment with context-based information. By context we consider all data available in sensors environment, not only data processed by them. Currently this data are not utilized by sensors, but we think that they can improve overall functionality of the sensor network. We also discuss the practical challenges facing the integration of such an approach into the sensor application stack.

Słowa kluczowe

EN

wireless sensor networks; context-aware systems; data-centric architectures

• Wydawca: Wydawnictwa AGH
• Czasopismo: Computer Science
• Rocznik: 2012
• Tom: Vol. 13 (4)
• Strony: 101--114
• Opis fizyczny: Bibliogr. 17 poz., rys.

Twórcy

autor

Konieczny M.

• AGH University of Science and Technology, Faculty of Electrical Engineering, Automatics, Computer Science and Electronics, Department of Computer Science, al. A. Mickiewicza 30, 30-059 Krakow, Poland,

Bibliografia

• [1] Akyildiz I. F., Melodia T., Chowdhury K. R.: A survey on wireless multimedia sensor networks. Computer Networks, 51(4):921 – 960, 2007.
• [2] Bellavista P., Corradi A., Fanelli M., Foschini L.: A survey of context data distribution for mobile ubiquitous systems. ACM Comput. Surv., 45(1), April 2013.
• [3] Boonma P., Suzuki J.: Middleware support for pluggable non-functional properties in wireless sensor networks. In Proc. of the 2008 IEEE Congress on Services — Part I, SERVICES ’08, pp. 360–367, Washington, DC, USA, 2008. IEEE Komputer Society.
• [4] Chen G., Kotz D.: A survey of context-aware mobile computing research. Technical Report, Dept. of Computer Science, Dartmouth College, 2000.
• [5] Cisco.: Context Aware Mobility (MSE) API. Cisco Live Conference, 2011.
• [6] Corsaro A.: Efficient and Extensible Data-Centric Architectures. PrismTech OpenSplice DDS Webcasts, 2011.
• [7] Dey A. K., Abowd G. D., Salber D.: A conceptual framework and a toolkit for supporting the rapid prototyping of context-aware applications, 2001.
• [8] Garcia-Morchon O.,Wehrle K.: Modular context-aware access control for medical sensor networks. In Proc. of the 15th ACM symposium on Access control models and technologies, SACMAT ’10, pp. 129–138, New York, NY, USA, 2010. ACM.
• [9] Geirhofer S., Tong L., Sadler B.M.: Dynamic spectrum access in wlan channels: empirical model and its stochastic analysis. In Proc. of the first international workshop on Technology and policy for accessing spectrum, TAPAS ’06, New York, NY, USA, 2006. ACM.
• [10] Gezici S.: A survey on wireless position estimation. Wireless Personal Communications, 44:263–282, 2008. 10.1007/s11277-007-9375-z.
• [11] Harle R., Hopper A.: Towards autonomous updating of world models in location--aware spaces. Personal and Ubiquitous Computing, 12:317–330, 2008. 10.1007/s00779-006-0103-6.
• [12] Joshi R.: Data-centric architecture: A model for the era of big data. Dr. Dobbs, 3.2011.
• [13] Loyall J.P., Carvalho M., III A. M., Schmidt D., Sinclair A., Gillen M., Edmondson J., Bunch L., Corman D.: Qos enabled dissemination of managed information objects in a publish-subscribe-query information broker. Defense Transformation and Net-Centric Systems 2009, 7350:73500M, 2009.
• [14] Mottola L., Picco G.P.: Programming wireless sensor networks: Fundamental concepts and state of the art. ACM Comput. Surv., 43(3):19:1–19:51, April 2011.
• [15] Standard.: Data-Distribution Service for Real-Time Systems (DDS) v1.2. Object Management Group (OMG), 2007.
• [16] Stojmenovi I., Olariu S.: Data-Centric Protocols for Wireless Sensor Networks, pp. 417–456. John Wiley and Sons, Inc., 2005. Enriching WSN environment with context information 113
• [17] Zhou R., Xiong Y., Xing G., Sun L., Ma J.: Zifi: wireless lan discovery via zigbee interference signatures. In Proc. of the sixteenth annual international conference on Mobile computing and networking, MobiCom ’10, pp. 49–60, New York, NY, USA, 2010. ACM.