Sameer Tilak
Abstract
In future smart environments, wireless sensor networks will play a key role in sensing, collecting, and disseminating information about environmental phenomena. Sensing applications represent a new paradigm for network operation, one that has different goals from more traditional wireless networks. This paper examines this emerging field to classify wireless micro-sensor networks according to different communication functions, data delivery models, and network dynamics. This taxonomy will aid in defining appropriate communication infrastructures for different sensor network application sub-spaces, allowing network designers to choose the protocol architecture that best matches the goals of their application. In addition, this taxonomy will enable new sensor network models to be defined for use in further research in this area.
- Mani Srivastava, Richard Muntz, and Miodrag Potkonjak, "Smart Kindergarten: Sensor-based Wireless Networks for Smart Developmental Problem-solving Environments," in The Seventh Annual International Conference on Mobile Computing and Networking 2001, July 2001, pp. 132 - 138. Google Scholar
Digital Library
- C. Intanagonwiwat, R. Govindan, and D. Estrin, "Directed Diffusion: A Scalable and Robust Communication Paradigm for Sensor Networks," Proc. 4th ACM International Conference on Mobile Computing and Networking (Mobicom'98), Aug. 2000. Google ScholarDigital Library
- J. Pottie and W. J. Kaiser, "Embedding the internet wireless integrated network sensors," Communicaitons of the ACM, vol. 43, no. 5, pp. 51-58, May 2000. Google ScholarDigital Library
- Eugene Shih, Seong-Hwan Cho, Nathan Ickes, Rex Min, Amit Sinha, Alice Wang, and Anantha Chandrakasan, "Physical layer driven protocol and algorithm design for energy-efficient wireless sensor networks," in The Seventh Annual International Conference on Mobile Computing and Networking 2001, July 2001, pp. 272 - 287. Google ScholarDigital Library
- W. Heinzelman, J. Kulik, and H. Balakrishnan, "Adaptive Protocols for Information Dissemination in Wireless Sensor Networks," in Proceedings of the Fifth Annual ACM/IEEE International Conference on Mobile Computing and Networking (MobiCom '99), Aug. 1999, pp. 174-185. Google ScholarDigital Library
- Sudeept Bhatnagar, Budhaditya Deb, and Badri Nath, "Service Differentiation in Sensor Networks," in The Fourth International Symposium on Wireless Personal Multimedia Communications, September 2001., Sept. 2001.Google Scholar
- J. Heidemann, F. Silva, C. Intanagonwiwat, R. Govindan, D. Estrin, and D. Ganesan, "Building efficient wireless sensor networks with low-level naming.," in Proceedings of the Eighteenth ACM Symp. on Operating Systems Principles {21}, Oct. 2001, pp. 146-159. Google ScholarDigital Library
- W. Heinzelman, Application-Specific Protocol Architectures for Wireless Networks, Ph.D. thesis, Massachusetts Institute of Technology, 2000. Google ScholarDigital Library
- A. Cerpa, J. Elson, D. Estrin, L. Girod, M. Hamilton, and J. Zhao, "Habitat Monitoring: Application Driver for Wireless Communications Technology," in Proc. ACM SIGCOMM Workshop on Data Communications in Latin America and the Caribbean, Apr. 2001. Google ScholarDigital Library
- Alec Woo and David Culler., "A Transmission Control Scheme for Media Access in Sensor Networks.," in Mobicom 2001, 2001. Google ScholarDigital Library
- Internet Engineering Task Force MANET Working Group, "Mobile ad hoc networks (MANET) charter," http://www.ietf.org/html.charters/manet-charter.html.Google Scholar
- D. Tennenhouse, J. Smith, W. Sincoskie, D. Wetherall, and G. Minden, "A survey of active network research," IEEE Communications Magazine, vol. 35, no. 1, pp. 80-86, Jan. 1997. Google ScholarDigital Library
- "IETF MobileIP Working Group Internet Draft," http://www.ietf.org/rfc/rfc2002.txt, 1996.Google Scholar
- D. Johnson, D. Maltz, Y-C. Hu, and J. Jetcheva, "The dynamic source routing protocol for mobile ad hoc networks," Internet Draft, Internet Engineering Task Force, Mar. 2001, http://www.ietf.org/internet-drafts/draft-ietf-manet-dsr-05.txt.Google Scholar
- C. Perkins, E. Royer, and S. Das, "Ad hoc on-demand distance vector (aodv) routing," Internet Draft, Internet Engineering Task Force, Mar. 2001, http://www.ietf.org/internet-drafts/draft-ietf-manet-aodv-08.txt. Google ScholarDigital Library
- Charles Perkins and Pravin Bhagwat, "Highly dynamic destination-sequenced distance-vector routing (dsdv) for mobile computers," in ACM SIGCOMM'94 Conference on Communications Architectures, Protocols and Applications, Aug. 1994, pp. 234-244. Google ScholarDigital Library
- Hector Garcia-Molina Yongqiang Huang, "Publish/Subscribe in a mobile enviroment," in International Workshop on Data Engineering for Wireless and Mobile Access, 2001, pp. 27-34. Google ScholarDigital Library
- Sylvia Ratnasamy, Deborah Estrin, Ramesh Govindan, Brad Karp, Scott Shenker, Li Yin, and Fang Yu, "Data-centric storage in Sensor-nets," in Submitted for review to SIGCOMM'02, Feb. 2002.Google Scholar
- "IETF MANET Working Group Internet Draft---Dynamic Source Routing Protocol for Mobile Ad Hoc Networks," http://www.ietf.org/internet-drafts/draft-ietf-manet-dsr-05.txt, 2001.Google Scholar
Index Terms
- A taxonomy of wireless micro-sensor network models
Recommendations
Node Placement Strategy in Wireless Sensor Network
The performance and quality of services in wireless sensor networks WSNs depend on coverage and connectivity. Node placement is a fundamental issue closely related to the coverage and connectivity in sensor networks. Node placement influences the target ...
Corona based deployment strategies in wireless sensor network
A wireless sensor network (WSN) is composed of a large number of sensor nodes, relay nodes, and a base station, that are deployed in an environment to collect information. WSNs are getting more widespread use and have been adapted to a vast array of ...
Coverage Quality Analysis for 3D Wireless Sensor Network
BDAW '16: Proceedings of the International Conference on Big Data and Advanced Wireless TechnologiesThe sensor node deployment quality is defined as the most fundamental issue in Wireless Sensor Networks (WSNs), which have a great impact on the quality of coverage and the overall performance of WSNs. When the random deployment is required, where ...
Comments