Wireless sensor network simulations using castalia and storage case study

Castalia has been built using the OMNeT++ platform and can be used to simulate wireless sensor net- works, body area networks, and other networks of low-power embedded devices. Castalia's scalable module structure provides a stable and flexible framework for simulation that incorporates new and innovative distributed algorithms and protocols. This chapter starts out by explaining the structure of Castalia. Then, the procedure to create a new module within Castalia is presented to illustrate the investigation of new algorithms or protocols. Finally, a specific framework incorporating data centric storage is used as a case study to show a step-by-step implementation through the realization of two modules in the application and routing layers. A distributed metric-based data centric similarity storage scheme is implemented in the node application layer. The technique was inspired by the disk- based data centric storage scheme and uses a disc track and sector analogy to map data locations and hence distance. The distributed metric-based data centric similarity storage scheme incorporates the sector based distance routing protocol, which is implemented in the node routing layer