On Stability and Scalability Enhancement in WSN

Abstract

Real-time applications integrated with WSN can be utilized in a hazardous area for long or short term, large or small scale, data monitoring or data collection. In such applications, stable network is required which will provide continuous services and less maintenance. So a higher stable clustering algorithm called Stability and Scalability Enhancement algorithm (SASE) is introduced. In SASE, probability and density conditions are used for clustering. In order to analyze the efficiency of the SASE algorithm, it is compared with the existing algorithms and the results show that SASE achieves 24% of higher stability compared to Mean Random PSO and 50% higher stable from other routing algorithms.