A role dynamic management algorithm for prolonging lifetime in Wireless Sensor Networks

This article presents a role dynamic management algorithm for sensor devices. The network scenario considers a wireless sensor network in which each node can assume different roles. Specifically, attention is focused on two different roles: the active and the passive role. When a sensor device assumes an active role it uses a greater amount of energy greater than the passive role. The scope of this work is to introduce a dynamic management strategy to better distribute the energy in the network varying dynamically roles of the nodes under different mobility conditions. This dynamic algorithm is applied to an energy-efficient protocol based on a cross-layered approach (ESR and EMAC) and which ensures a good node lifetime. Two different algorithms have been developed to ensure a dynamic management of the node roles with the ESR and EMAC approach. Both these approaches have been evaluated through a simulation tool OMNeT++ and their performance have been compared with the original ESR and EMAC.

[1]  Paul J. M. Havinga,et al.  Prolonging the lifetime of wireless sensor networks by cross-layer interaction , 2004, IEEE Wireless Communications.

[2]  Ram Ramanathan,et al.  Topology control of multihop wireless networks using transmit power adjustment , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).

[3]  Satish Kumar,et al.  Next century challenges: scalable coordination in sensor networks , 1999, MobiCom.

[4]  Wendi Heinzelman,et al.  Energy-efficient communication protocol for wireless microsensor networks , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[5]  Anantha P. Chandrakasan,et al.  An architecture for a power-aware distributed microsensor node , 2000, 2000 IEEE Workshop on SiGNAL PROCESSING SYSTEMS. SiPS 2000. Design and Implementation (Cat. No.00TH8528).

[6]  Chenyang Lu,et al.  SPEED: a stateless protocol for real-time communication in sensor networks , 2003, 23rd International Conference on Distributed Computing Systems, 2003. Proceedings..

[7]  Jerry Zhao,et al.  Habitat monitoring: application driver for wireless communications technology , 2001, CCRV.

[8]  John Anderson,et al.  Wireless sensor networks for habitat monitoring , 2002, WSNA '02.

[9]  Tarek F. Abdelzaher,et al.  Energy-conserving data placement and asynchronous multicast in wireless sensor networks , 2003, MobiSys '03.

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

[11]  Ian Clarke,et al.  Freenet: A Distributed Anonymous Information Storage and Retrieval System , 2000, Workshop on Design Issues in Anonymity and Unobservability.

[12]  M. Jiang,et al.  Cluster based routing protocol (CBRP) , 1999 .

[13]  Deborah Estrin,et al.  Next Century Challenges: Mobile Networking for Smart Dust , 1999, MobiCom 1999.

[14]  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.