A delay - aware network model for efficient data gathering in wireless sensor networks

Wireless Sensor Network (WSN) consists of spatially distributed autonomous sensors to monitor physical or environmental conditions, such as temperature, sound, pressure, etc. In WSN, the sensor nodes are distributed in various geographical dispersed areas for sensing the data and the sink node is used to collect data from different sensor nodes, therefore data collection is important issue in wireless sensor network. In this paper a delay –aware Network Data Gathering Model (DANDM) is planned for WSNs. The sink mobility along a constrained path can improve the energy efficiency in WSN. A data collection method called Maximum Shortest Path (MSP) is proposed which increases the network life time as well as conserves energy by optimizing the assignment of sensor nodes. Simulation result shows the significant improvement in data collection rates without interruption in the network and reduces the energy consumption among nodes.