Performance Analysis of CREIDO Enhanced Chord Overlay Protocol for Wireless Sensor Networks

Wireless sensor networks (WSN) are alluring to the researchers because of its creditable and commendable wide variety of applications in the new era. The main and major impediment for sensor networks is its overall architecture and its coexistence with the other established networks. This paper discusses about the application of chord overlay protocol in mobile wireless sensor networks enhancing the robustness of overlay architecture for the betterment of packet delivery ratio by amending CREIDO packet that changes the traditional operation of stabilize function in the chord protocol. This has been extensively simulated by the help of OMNeT++ simulator and its additional frameworks for mobile wireless sensor networks and overlay networks. The result obtained from the simulation expounds that the enhanced chord accomplishes the traditional chord protocol’s packet delivery ratio by 13.7 %.

[1]  David E. Culler,et al.  Towards a Sensor Network Architecture: Lowering the Waistline , 2005, HotOS.

[2]  David R. Karger,et al.  Chord: A scalable peer-to-peer lookup service for internet applications , 2001, SIGCOMM '01.

[3]  Arun Venkataramani,et al.  Replication Routing in DTNs: A Resource Allocation Approach , 2010, IEEE/ACM Transactions on Networking.

[4]  Richard Han,et al.  Unifying micro sensor networks with the Internet via overlay networking [wireless networks] , 2004, 29th Annual IEEE International Conference on Local Computer Networks.

[5]  Adam Dunkels,et al.  Making TCP/IP Viable for Wireless Sensor Networks , 2004 .

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

[7]  Rudolf Hornig,et al.  An overview of the OMNeT++ simulation environment , 2008, Simutools 2008.

[8]  S. Krause,et al.  OverSim: A Flexible Overlay Network Simulation Framework , 2007, 2007 IEEE Global Internet Symposium.

[9]  David E. Culler,et al.  Design of a wireless sensor network platform for detecting rare, random, and ephemeral events , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..