Timeout-Based Information Forwarding Protocol for Wireless Sensor Networks

Recent wireless microsensor network protocols provide more flexible leverage to the applications with dynamically changing topology, but they should be designed to overcome energy constraints, the bandwidth limit, and system latency. Thus, microsensor network protocols should be effective both in energy and in latency. In addition, they should be evaluated through designated tools at each level of networking characteristics. This paper proposes a new Timeout-based Information Forwarding (TIF) protocol for wireless sensor networks. It uses a relatively simple logic to forward the data packet with multi-hop fashion to reduce the overall network energy consumption. The TIF protocol has been implemented into a network evaluation tool, called TIE/MEMS, and provides a design strategy for distributed wireless sensor network systems needed for various emerging applications. The simulated results show that the TIF protocol has low energy consumption and provides design guidelines between energy consumption and latency according to the number of hops by adjusting weight values in the timeout function.

[1]  Matthew Ettus,et al.  System capacity, latency, and power consumption in multihop-routed SS-CDMA wireless networks , 1998, Proceedings RAWCON 98. 1998 IEEE Radio and Wireless Conference (Cat. No.98EX194).

[2]  Samir Khuller,et al.  A clustering scheme for hierarchical control in multi-hop wireless networks , 2001, Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213).

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

[4]  Y. Liu,et al.  Distributed microflow sensor arrays and networks: design of architectures and communication protocols , 2004 .

[5]  Yu-Chee Tseng,et al.  Power-saving protocols for IEEE 802.11-based multi-hop ad hoc networks , 2003, Comput. Networks.

[6]  David L. Mills,et al.  Computer network time synchronization : the network time protocol on earth and in space , 2006 .

[7]  Mario Gerla,et al.  Adaptive Clustering for Mobile Wireless Networks , 1997, IEEE J. Sel. Areas Commun..

[8]  Deborah Estrin,et al.  Scalable Coordination for Wireless Sensor Networks: Self-Configuring Localization Systems , 2001 .

[9]  Nirwan Ansari,et al.  A theoretical framework for selecting the cost function for source routing , 2003, IEEE International Conference on Communications, 2003. ICC '03..

[10]  Deborah Estrin,et al.  Medium access control with coordinated adaptive sleeping for wireless sensor networks , 2004, IEEE/ACM Transactions on Networking.

[11]  Anantha P. Chandrakasan,et al.  An application-specific protocol architecture for wireless microsensor networks , 2002, IEEE Trans. Wirel. Commun..

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

[13]  Yong Ma,et al.  ROP: A Resource Oriented Protocol for Heterogeneous Sensor Networks , 2003 .

[14]  Azzedine Boukerche,et al.  Protocols for data propagation in wireless sensor networks: A survey , 2004 .

[15]  Wendi Heinzelman,et al.  Balanced-energy sleep scheduling scheme for high density cluster-based sensor networks , 2004 .

[16]  Deborah Estrin,et al.  GPS-less low-cost outdoor localization for very small devices , 2000, IEEE Wirel. Commun..

[17]  S. Sitharama Iyengar,et al.  A Versatile Architecture for the Distributed Sensor Integration Problem , 1994, IEEE Trans. Computers.

[18]  Majid Sarrafzadeh,et al.  Optimal Energy Aware Clustering in Sensor Networks , 2002 .

[19]  Wendi B. Heinzelman,et al.  Application-specific protocol architectures for wireless networks , 2000 .

[20]  A Probabilistic Forwarding Protocol for Efficient Data Propagation in Sensor Networks December 12 , 2002 , 2002 .

[21]  Ioannis Chatzigiannakis,et al.  Wireless sensor networks protocols for efficient collision avoidance in multi-path data propagation , 2004, PE-WASUN '04.

[22]  Mitali Singh,et al.  Energy-optimal and energy-balanced sorting in a single-hop wireless sensor network , 2003, Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003)..

[23]  Di Tian,et al.  A coverage-preserving node scheduling scheme for large wireless sensor networks , 2002, WSNA '02.

[24]  Edward J. Coyle,et al.  An energy efficient hierarchical clustering algorithm for wireless sensor networks , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[25]  D. N. Jayasimha Fault tolerance in multisensor networks , 1996, IEEE Trans. Reliab..