Random Direction Based Model for Intrinsic Secrecy in Wireless Sensor Network

The ability to exchange secret information is critical to many commercial, governmental, and military networks. Wireless secrecy is essential for communication confidentiality, health privacy, public safety, information superiority, and economic advantage in the modern information society. Wireless security schemes have typically evolved from those developed for traditional wire line applications, these schemes do not consider physical properties of the wireless channels. To overcome these problems, this research work develops a foundation for design and analysis of wireless networks with secrecy provided by intrinsic properties such as node spatial distribution, wireless propagation medium, and aggregate network interference. Here consider bi-dimensional random mobility and use a random direction (RD) model for path selection in WSN to increase the secrecy level. Use a Random Direction (RD) mobility model, In the RD mobility model, each node alternates a movement phase and a pause phase, at the beginning of the movement phase, a node independently selects its new direction and speed, randomly selects a path during the data transmission phase to increase the secrecy level. Obtain the distance distribution function of any node pairs in a network, with node mobility based on the RD mobility model. Speed and direction are kept constant for the whole duration of the movement phase. In this model, nodes in WSN are uniformly distributed within the simulation area. Compared to the random waypoint (RWP) mobility model, it eliminates the phenomenon of clustering which occurs near the center of the simulation area. In this work, investigate the interference and SIR distribution functions of mobile nodes with a Random Direction (RD) at a given time instant t. The experimentation results shows that the intrinsic properties of wireless networks with Random Direction (RD) model can provide a new level of secrecy, paving the way to the design of wireless networks with enhanced intrinsic secrecy.