Exploiting Resource-Rich Actors for Bridging Network Partitions in Wireless Sensor and Actor Networks

Real-time and energy efficient Actor-Actor Coordination (AAC) is an important problem in Wireless Sensor and Actor Networks (WSANs). Actor nodes need to communicate with each other to perform joint actions on the environment. Unlike sensor nodes, actor nodes are resource-rich and their energy can be renewed. In WSANs, only a few number of actors will be deployed due to their cost and there is no guarantee that they form a connected network as the actor nodes frequently move. We address the problem of efficiently bridging the partitions in an actor network using resource-constrained sensor nodes. We propose a hybrid communication architecture in which actor nodes use dual-channel and directional antenna. We show by theoretical analysis and simulation results that exploiting resource-richness of actors and the use of directional antenna help enabling real-time actor-actor communication with minimum overhead in the energy-constrained sensor nodes. The results show that the use of narrow beam-width directional antenna at actor nodes reduces latency in AAC with minimum wastage of energy in sensor nodes for bridging the actor partitions.

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

[2]  Yanghee Choi,et al.  Directional Antenna at Sink (DAaS) to prolong network lifetime in Wireless Sensor Networks , 2006 .

[3]  Deborah Estrin,et al.  Guest Editors' Introduction: Overview of Sensor Networks , 2004, Computer.

[4]  Theodore S. Rappaport,et al.  Wireless communications - principles and practice , 1996 .

[5]  Dario Pompili,et al.  A distributed coordination framework for wireless sensor and actor networks , 2005, MobiHoc '05.

[6]  Sanjay Jha,et al.  A Communication Paradigm for Hybrid Sensor/Actuator Networks* , 2004, 2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE Cat. No.04TH8754).

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

[8]  Jon Crowcroft,et al.  Siphon: overload traffic management using multi-radio virtual sinks in sensor networks , 2005, SenSys '05.

[9]  C. Siva Ram Murthy,et al.  On Maximizing Residual Energy of Actors in Wireless Sensor and Actor Networks , 2006, ICDCN.

[10]  Mani Srivastava,et al.  Overview of sensor networks , 2004 .

[11]  V. Kumar,et al.  E-SPAN: enhanced-SPAN with directional antenna , 2003, TENCON 2003. Conference on Convergent Technologies for Asia-Pacific Region.

[12]  Yiwei Thomas Hou,et al.  BeamStar: a new low-cost data routing protocol for wireless sensor networks , 2004, IEEE Global Telecommunications Conference, 2004. GLOBECOM '04..