Balanced tree for data transmission to maximize the lifetime of Wireless Sensor Networks

Abstract

In Wireless Sensor Networks, sensor nodes have limited resources such as processing power, memory and energy. Energy is an important factor to determine the lifetime of the network. Most part of the energy of a node is consumed in transmitting and receiving the data. Data transmission should be energy efficient to maximize the network's lifetime. Different architectures are used to transmit the data from source node to sink node in wireless sensor network. This paper covers the studies of different approaches used to maximize the lifetime of wireless sensor network using tree based architecture with the proposed approach and its performance. In this paper authors proposed a novel approach to construct the balanced tree for data transmission to maximize the lifetime (BTDTML) of wireless sensor networks. The proposed approach presented in this paper involves three parameters such as number of children of intermediate node, energy value of node and distance, for the construction of balanced tree and sink node works as the root of tree. Finally the Performance of the BTDTML approach is compared with performance of Tree Based Data Aggregation Mechanism (TDAM) for data transmission without using data aggregation. Simulation is performed using Network Simulator 2 and Simulation results show that BTDTML approach gives the better performance for the parameters residual energy of node, end to end delay and packet delivery ratio for data transmission.