Randomized Distance Based Clustering Algorithm for Energy Efficient Wireless Sensor Networks

Energy efficiency in Wireless Sensor Networks is very important issue now a days because with development of sophisticated hardware and better software, the area of implementation of WSN has widened remarkably. Clustering technique has been widely used in WSN for achieving better management and energy efficiency. LEACH is one of the widely used algorithms in WSN because of its simplicity and easy implementation. However, LEACH is probabilistic based model and it has ignored the effect of different parameters that can affect the energy efficiency of the WSN. In order to overcome this pitfall of LEACH, we introduced new algorithm RDBC, which is both probabilistic as well as distance based approach to achieve better energy efficiency. We simulate our algorithm as well as LEACH in MATLAB and found that RDBC is better than LEACH in different aspects.