Improving the Survivability of WSNs with Biological Characters Based on Rejuvenation Technology

Biological systems exhibit remarkable adaptation and robustness in the face of widely changing environments. Currently speaking, we often imitate the properties of biological systems. Based on this thought, it also exists the analogous situation in the WSNs (wireless sensor networks). Survivability is the ability to provide essential services in the presence of attacks and failures, and recover full services in timely manner. The conventional security technologies for WSNs only focus on confidentiality, integrity and authentication and can not provide survival services. The WSNs survivability depends most critically on base station that attaches WSN to outside networks including Internet. Thus, to increase the survivability, one survivable model for base station in WSNs is presented with rejuvenation technology, where it is designed to provide continued useful services in face of attacks, failure or accidents and to prevent the intruderspsila attempts in their attack. This model is described and analyzed by semi-Markov process for survivability. Finally, according to the experimental results, current model has the feasibility to enhance the survivability level for WSNs.