Collision Avoidance and Energy Optimization by Clustering in WSN

In wireless sensor networks, congestion occurs when the traffic exceeds the obtainable capability of sensing element nodes. In most applications, each sensing element node will send the event it's detected to a sink node. This operation makes the sensors nearer to the sink, leading to congestion. Congestion cause loss of packets, lower throughput and sensing element energy waste. The proposed system contributes a solution for the avoidance of packet collisions and minimizing energy consumption in the wireless sensor networks. The GLASS protocol and the PBEEC (Prediction Based Energy Efficient Clustering) are combined to get a well-organized model for the WSN. Though the time slot methodology plays a role in energy savings, the results are not so prominent when the network grows larger. So, the proposed work incorporates the algorithm PBEEC (Prediction Based Energy Efficient Clustering) which makes full use of the history information for developing the clustered network. The results show that the performance of the proposed scheme for saving resources in wireless sensor network is best.