Cooperative transmission range extension for duty cycle-limited wireless sensor networks

In this paper, we discuss how cooperative transmission (CT) can provide better services and/or lower the initial cost compared to non-CT in wireless sensor networks. To see the performance of CT and non-CT in both battery operated and energy harvesting networks, we look at the duty cycle instead of the energy and convert the conventional non-CT and CT routing protocols to their duty cycle versions. We calculate the duty cycle limit, which is used as a performance bound in our network simulation, based on a building management application. Through the network simulation, we show that when CT is used appropriately, it allows more sensor nodes to be supported by a single gateway node, thereby lowering initial cost, and it can provide more frequent data gathering.

[1]  Eric Anderson,et al.  X-MAC: a short preamble MAC protocol for duty-cycled wireless sensor networks , 2006, SenSys '06.

[2]  Junichi Suzuki,et al.  A Biologically Inspired Architecture for Self-Managing Sensor Networks , 2006, 2006 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks.

[3]  Gregory W. Wornell,et al.  Cooperative diversity in wireless networks: Efficient protocols and outage behavior , 2004, IEEE Transactions on Information Theory.

[4]  Michalis Faloutsos,et al.  A Cross-Layer Framework for Exploiting Virtual MISO Links in Mobile Ad Hoc Networks , 2007, IEEE Transactions on Mobile Computing.

[5]  Joongseok Park,et al.  Maximum Lifetime Routing In Wireless Sensor Networks ∗ , 2005 .

[6]  Qun Li,et al.  Online power-aware routing in wireless Ad-hoc networks , 2001, MobiCom '01.

[7]  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.

[8]  Leandros Tassiulas,et al.  Routing for network capacity maximization in energy-constrained ad-hoc networks , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[9]  T. O'Donnell,et al.  Energy scavenging for long-term deployable wireless sensor networks. , 2008, Talanta.

[10]  Haejoon Jung,et al.  Experimental range extension of concurrent cooperative transmission in indoor environments at 2.4GHz , 2010, 2010 - MILCOM 2010 MILITARY COMMUNICATIONS CONFERENCE.

[11]  Brendan O'Flynn,et al.  Design considerations of sub-mW indoor light energy harvesting for wireless sensor systems , 2010, JETC.

[12]  Mani B. Srivastava,et al.  Adaptive Duty Cycling for Energy Harvesting Systems , 2006, ISLPED'06 Proceedings of the 2006 International Symposium on Low Power Electronics and Design.

[13]  M. Lakshmanan,et al.  AN ADAPTIVE ENERGY EFFICIENT MAC PROTOCOL FOR WIRELESS SENSOR NETWORKS , 2009 .

[14]  Raghupathy Sivakumar,et al.  Diversity Routing for Multi-hop Wireless Networks with Cooperative Transmissions , 2009, 2009 6th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks.

[15]  Mary Ann Ingram,et al.  Residual-Energy-Activated Cooperative Transmission (REACT) to Avoid the Energy Hole , 2010, 2010 IEEE International Conference on Communications Workshops.

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