Energy Efficient and Cluster Based Data Aggregation Using Estar Methodology for Wireless Sensor Network

Wireless sensor networks (WSNs) are being envisioned for certain applications like habitat monitoring and environmental sensing. Wireless sensors are deployed to achieve network load balancing, prolonging network lifetime, and improving network coverage. To achieve these goals, energy estimation is one of the main constraints and concerns to consider, while deploying wireless sensors in a WSN field. In this paper, we propose an Energy-efficient based Routing Algorithm to prolong lifetime (ESTAR), which is able to dramatically prolong network lifetime while effectively reducing energy consumption. Through an analytical study, we provide guidance on how to choose parameters in our scheme and demonstrate that the scheme is efficient in both network lifetime and energy consumption. Simulation results show that, with the proposed Energy-efficient based Maximal Lifetime Routing Algorithm in WSN energy consumption, network lifetime, energy consumption balance can be improved in most of cases. It is an available approach to routing decision