Design of New Aggregation Techniques for Wireless Sensor Networks

This paper compares different alternative aggregation techniques for Wireless Sensor Networks Optimization based on tree construction. The main idea is to efficiently elect parent nodes responsible of data aggregation according to their connectivity degree. Thus, the quantity of data transmitted on the network remains minimal during the transfer from all sensors towards the sink. Simulations have shown that our new approach provides a better performance than existing techniques such as BFS, DFS and flooding, especially in terms of quantity of data packets transmitted from all sensor towards the sink.