Geographic grid routing for wireless sensor networks

High resolution data collection using low-cost wireless sensor networks has recently become feasible due to advances in electronics and wireless networking technologies. The geographic grid routing (GGR) protocol described in this paper aims to provide robust task dissemination and data collection from large sensor networks such that the useful lifetime of the network is prolonged. The work builds on a previously developed routing protocol called two-tier data dissemination (TTDD). Our work is differentiated by the use of multiple paths, a more efficient and useful data collection model, and more authentic environmental assumptions, including the presence of asymmetric links. Extensive and realistic experiments were used to evaluate the performance of GGR. The results show GGR to be a highly efficient, scalable, versatile and robust solution.

[1]  Gregory J. Pottie,et al.  Protocols for self-organization of a wireless sensor network , 2000, IEEE Wirel. Commun..

[2]  Ian F. Akyildiz,et al.  Sensor Networks , 2002, Encyclopedia of GIS.

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

[4]  Gerard J. Holzmann,et al.  The SPIN Model Checker - primer and reference manual , 2003 .

[5]  Haiyun Luo,et al.  A two-tier data dissemination model for large-scale wireless sensor networks , 2002, MobiCom '02.

[6]  Chris Savarese LOCATIONING IN DISTRIBUTED AD-HOC WIRELESS SENSOR NETWORKS , 2001 .

[7]  Ramesh Govindan,et al.  Understanding packet delivery performance in dense wireless sensor networks , 2003, SenSys '03.

[8]  Arthur L. Liestman,et al.  A survey of gossiping and broadcasting in communication networks , 1988, Networks.

[9]  Anantha Chandrakasan,et al.  Bounding the lifetime of sensor networks via optimal role assignments , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

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

[11]  Deborah Estrin,et al.  Geographical and Energy Aware Routing: a recursive data dissemination protocol for wireless sensor networks , 2002 .

[12]  Miodrag Potkonjak,et al.  Coverage problems in wireless ad-hoc sensor networks , 2001, Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213).

[13]  Joseph Y. Halpern,et al.  Minimum-energy mobile wireless networks revisited , 2001, ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240).

[14]  Elizabeth M. Belding-Royer,et al.  A review of current routing protocols for ad hoc mobile wireless networks , 1999, IEEE Wirel. Commun..

[15]  Ramesh Govindan,et al.  Networking support for query processing in sensor networks , 2004, CACM.

[16]  Jan M. Rabaey,et al.  Location in distributed ad-hoc wireless sensor networks , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

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

[18]  Jorge Nuevo A Comprehensible GloMoSim Tutorial , 2004 .

[19]  Panganamala Ramana Kumar,et al.  RHEINISCH-WESTFÄLISCHE TECHNISCHE HOCHSCHULE AACHEN , 2001 .

[20]  David Simplot-Ryl,et al.  Energy-efficient area monitoring for sensor networks , 2004, Computer.

[21]  Zygmunt J. Haas,et al.  Improving the performance of query-based routing protocols through "diversity injection" , 1999, WCNC. 1999 IEEE Wireless Communications and Networking Conference (Cat. No.99TH8466).