Non-uniform information dissemination for sensor networks

Future smart environments are characterized by multiple nodes that sense, collect, and disseminate information about environmental phenomena through a wireless network. In this paper, we define a set of applications that require a new form of distributed knowledge about the environment, referred to as non-uniform information granularity. By non-uniform information granularity we mean that the required accuracy or precision of information is proportional to the distance between a source node (information producer) and current sink node (information consumer). That is, as the distance between the source node and sink node increases, loss in information precision is acceptable. Applications that can benefit from this type of knowledge range from battlefield scenarios to rescue operations. The main objectives of this paper are two-fold: first, we precisely define non-uniform information granularity, and second we describe the different protocols that achieve non-uniform information dissemination and analyze these protocols based on complexity, energy consumption, and accuracy of information.

[1]  André Schiper,et al.  Probabilistic broadcast for flooding in wireless mobile ad hoc networks , 2003, 2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003..

[2]  Proceedings. 11th IEEE International Conference on Network Protocols , 2003, 11th IEEE International Conference on Network Protocols, 2003. Proceedings..

[3]  Wendi Heinzelman,et al.  Proceedings of the 33rd Hawaii International Conference on System Sciences- 2000 Energy-Efficient Communication Protocol for Wireless Microsensor Networks , 2022 .

[4]  Jon M. Kleinberg,et al.  Spatial gossip and resource location protocols , 2001, JACM.

[5]  Nael B. Abu-Ghazaleh,et al.  Infrastructure tradeoffs for sensor networks , 2002, WSNA '02.

[6]  Tracy Camp,et al.  Comparison of broadcasting techniques for mobile ad hoc networks , 2002, MobiHoc '02.

[7]  Krishna M. Sivalingam,et al.  Data gathering in sensor networks using the energy*delay metric , 2001, Proceedings 15th International Parallel and Distributed Processing Symposium. IPDPS 2001.

[8]  Wendi B. Heinzelman,et al.  Adaptive protocols for information dissemination in wireless sensor networks , 1999, MobiCom.

[9]  Deborah Estrin,et al.  Directed diffusion: a scalable and robust communication paradigm for sensor networks , 2000, MobiCom '00.

[10]  Joseph Y. Halpern,et al.  Gossip-based ad hoc routing , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[11]  Rimon Barr,et al.  Automatic Code Placement Alternatives for Ad-Hoc And Sensor Networks , 2001 .

[12]  Kevin Barraclough,et al.  I and i , 2001, BMJ : British Medical Journal.

[13]  Imrich Chlamtac,et al.  A distance routing effect algorithm for mobility (DREAM) , 1998, MobiCom '98.

[14]  Madhav V. Marathe,et al.  Parametric probabilistic sensor network routing , 2003, WSNA '03.

[15]  Jerry Zhao,et al.  Habitat monitoring: application driver for wireless communications technology , 2001, CCRV.