Wireless Sensor Network (WSN) often used for monitoring and control applications where sensor nodes collect data and send it to the sink. Most of the nodes consume their energy in transmission of data packets without aggregation to sink, which may be located at single or multi hop distance. The direct transmission of data packets to the sink from nodes in the network causes increased communication costs in terms of energy, average delay and network lifetime. In this context, the data aggregation techniques minimize the communication cost with efficient bandwidth utilization by decreasing the packet count reached at the sink. Here, we propose Two Tier Cluster based Data Aggregation (TTCDA) algorithm for the randomly distributed nodes to minimize computation and communication cost. The TTCDA is energy and bandwidth efficient since it reduces the transmission of the number of packets to the sink. It uses the additive and divisible aggregation functions at Cluster head. The functions applied according to data packets generated by each node by considering spatial and temporal correlation. The aggregation function used in TTCDA effectively reduces the packet count reported to the sink. It prevents transmission of redundant data packets by improving energy consumption. The performance of the algorithm is validated using examples and simulations.
Advanced Networks and Telecommunication Systems (ants), International Symposium on: Ants, 2012, p. 117-122
Data Aggregation, Wireless Sensor network, Clustering, Energy, Transmission cost
Main Research Area:
International Conference on Advanced Networks and Telecommunications Systems
Advanced Networks and Telecommuncations Systems (ANTS), 2012 IEEE International Conference on