1-hopMAC: An Energy-Efficient MAC Protocol for Avoiding 1 -hop Neighborhood Knowledge

Wireless sensor networks (WSNs) have witnessed a tremendous upsurge in recent years, both in academia and industry; this is mainly attributed to their unprecedented operating conditions and a variety of commercially viable applications. Because of their dependence on scarce battery power, communication protocols need to be energy efficient. However, finding the optimal solution is challenging as it needs to consider the whole communication stack at once. In this paper, we propose an approach that aims at optimizing jointly L2 (link) and L3 (routing) protocols. We design 1-hopMAC, a communication architecture grouping MAC and routing layers which avoids 1-hop neighborhood knowledge. 1-hopMAC can be combined, among others, with a geographic or gradient based routing protocols. We present an analytical study of energy consumption to point out the optimal configuration of 1-hopMAC

[1]  Ahmed Helmy,et al.  Analysis of Gradient-Based Routing Protocols in Sensor Networks , 2005, DCOSS.

[2]  Chenyang Lu,et al.  RAP: a real-time communication architecture for large-scale wireless sensor networks , 2002, Proceedings. Eighth IEEE Real-Time and Embedded Technology and Applications Symposium.

[3]  Andrzej Duda,et al.  Micro-Frame Preamble MAC for Multihop Wireless Sensor Networks , 2006, 2006 IEEE International Conference on Communications.

[4]  Jean-Dominique Decotignie,et al.  Low Power MAC Protocols for Infrastructure Wireless Sensor Networks , 2004 .

[5]  Charles E. Perkins,et al.  Ad-hoc on-demand distance vector routing , 1999, Proceedings WMCSA'99. Second IEEE Workshop on Mobile Computing Systems and Applications.

[6]  Koen Langendoen,et al.  An adaptive energy-efficient MAC protocol for wireless sensor networks , 2003, SenSys '03.

[7]  David E. Culler,et al.  Perpetual environmentally powered sensor networks , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[8]  David E. Culler,et al.  Versatile low power media access for wireless sensor networks , 2004, SenSys '04.

[9]  Young-Bae Ko,et al.  A novel gradient approach for efficient data dissemination in wireless sensor networks , 2004, IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004.

[10]  Christophe Dugas Configuring and managing a large-scale monitoring network: solving real world challenges for ultra-low-powered and long-range wireless mesh networks , 2005, Int. J. Netw. Manag..

[11]  David E. Culler,et al.  Telos: enabling ultra-low power wireless research , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[12]  Ahmed Helmy,et al.  Gradient-based routing in sensor networks , 2003, MOCO.

[13]  Deborah Estrin,et al.  An energy-efficient MAC protocol for wireless sensor networks , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[14]  Mohamed F. Younis,et al.  A survey on routing protocols for wireless sensor networks , 2005, Ad Hoc Networks.

[15]  John S. Heidemann,et al.  Ultra-low duty cycle MAC with scheduled channel polling , 2006, SenSys '06.

[16]  Brad Karp,et al.  GPSR: greedy perimeter stateless routing for wireless networks , 2000, MobiCom '00.

[17]  Charles E. Perkins,et al.  Ad Hoc Networking , 2001 .

[18]  Ian F. Akyildiz,et al.  Wireless sensor and actor networks: research challenges , 2004, Ad Hoc Networks.

[19]  David A. Maltz,et al.  DSR: the dynamic source routing protocol for multihop wireless ad hoc networks , 2001 .