Abstract:
Wireless Sensor Network (WSN) has a large number of sensor nodes with the ability to communicate among themselves and also to an external sink or a base-station. The sensor nodes could be scattered randomly in harsh environments such as a battlefield or deterministically placed at specified locations. The sensors coordinate among themselves to form a communication network.
Flexible data collection in wireless sensor networks is a significant research challenge since it must support dynamic reconfiguration of collection tasks while accommodating constraints of the sensor network infrastructure. These constraints come from the sensor node (due to energy limitations), from the network (typically large, faulty and bandwidth-limited) and from the application (which poses timeliness needs). In this work, we address energy efficient approach for data collection in wireless sensor network.
In this report, we present an energy efficient data collection approach for wireless sensor network. There are many approaches available using client/server computing model. In client/server computing model, different source nodes send data periodically to the sink node. This increases congestion and energy consumption of node increases. Our approach uses mobile agent based computing model. By using mobile agent, we developed a technique through which we reduce the energy consumption of the sensor nodes. Instead of many source nodes transmit data individually to sink node, here, mobile agent visits each sensor node for data collection. This reduces energy consumption of sensor nodes and increases network lifetime.
Performance of our approach
