Middleware/API and data fusion in Wireless Sensor Networks

2011 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2011

Volumn , Issue , 2011, Pages

  Beheshti, Babak D ^a   Michel, Howard E ^a  

^a NEW YORK INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

API; data aggregarion; data fusion; middleware; wireless sensor networks

Indexed keywords

API; APPLICATION PROGRAMMERS; APPLICATION SPECIFIC; DATA AGGREGARION; REFERENCE MODELS; STATE OF THE ART; TRANSMISSION LOADS; WIRELESS SENSOR;

APPLICATION PROGRAMMING INTERFACES (API); COMPUTER SYSTEMS PROGRAMMING; ENERGY UTILIZATION; INFORMATION FUSION; MIDDLEWARE; MODELS; SENSOR NODES; SENSORS; TELECOMMUNICATION EQUIPMENT; WIRELESS NETWORKS;

SENSOR DATA FUSION;

EID: 79960818651     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/LISAT.2011.5784224     Document Type: Conference Paper

References (13)

1. Culler, D.; Estrin, D.; Srivastava, M.; (2004). Guest Editors' Introduction: Overview of Sensor Networks. Computer, vol.37, no.8, pp. 41- 49
2. Al-Karaki, J. N., Ul-Mustafa, R., & Kamal, A. E. (2009). Data aggregation and routing in Wireless Sensor Networks: Optimal and heuristic algorithms. Computer Networks: The International Journal of Computer and Telecommunications Networking, 53 (7).
3. Avvenuti, M., Corsini, P., Masci, P., & Vecchio, A. (2007). An application adaptation layer for wireless sensor networks. Journal of Pervasive and Mobile Computing, 3 (4).
4. Cohen, N. H., Purakayastha, A., Turek, J., & Wong, L. (2001). Challenges in flxible aggregation of pervasive data. Yorktown Heights, NY: IBM Research Report RC 21942.
5. Culler, P. L. (2002). Maté: a tiny virtual machine for sensor networks. Proceedings of the 10th international conference on Architectural support for programming languages and operating systems (ASPLOS-X) (pp. 85-95). New York, NY: ACM.
6. Hadim, S., & Mohamed, N. (2006). Middleware: middleware challenges and approaches for wireless sensor networks. Distributed Systems Online, IEEE, 7 (3).
7. Heinzelman, W., Chandrakasan, A., & Balakrishnan, H. (2000). Energy efficient communication protocol for wireless microsensor networks. HICSS'00.
8. Intanagonwiwat, C., Govindan, R., & Estrin, D. (2000). Directed diffusion: a scalable and robust communication paradigm for sensor networks. ACM MobiCom'00, (pp. 56-67). Boston, MA. (Pubitemid 32024682)
9. Joshi, H., & Michel, H. (2007). Integrating Information-Centric, Control-Centric and Behavior-Centric Technical Reference Models for Autonomous Sensor Networks. Proceedings of the 2007 International Conference on Wireless Networks ICWN, (pp. 319-324). Las Vegas, NV.
10. Juntunen, J., Kuorilehto, M., Kohvakka, M., Kaseva, V., Hannikainen, M., & Hamalainen, T. (11-14 September, 2006). WSN API: Application Programming Interface for Wireless Sensor Networks. Personal, Indoor and Mobile Radio Communications, 2006 IEEE 17th International Symposium on. Helsinki : IEEE.
11. Krishnamachari, B., Estrin, D., & Wicker, S. (2002). The impact of data aggregation in wireless sensor networks. International Workshop of Distributed Event Based Systems, (pp. 575-578). Vienna, Austria.
12. Nakamura, E. F., Loureiro, A. A., & Frery, A. C. (2007). Information Fusion for Wireless Sensor Networks: Methods, Models, and Classifications. ACM Computing Surveys, 39 (3), Article 9.
13. Samuel Madden, M. J. (2003). The design of an acquisitional query processor for sensor networks. Proceedings of the 2003 ACM SIGMOD international conference on Management of data (SIGMOD '03). New York, NY: ACM.