Wireless Sensor Networks Data Aggregation Technology

With the development of low-power wireless communications, micro-sensors, the miniaturization of microprocessors and other hardware, distributed information processing technology advances and a large number of Ad Hoc network research, wireless sensor networks (WSN) has become a kinds of emerging technologies, has aroused extensive attention. In the large-scale wireless sensor networks, the traditional data transmission mode, each node will transmit all the sensor information, which have already embodied a lot of redundant information, due to sensor networks, energy consumption is much greater than the transmission of data energy consumption for data processing, therefore, so that each node multi-hop transmission sensor data to Sink node before the data aggregation is necessary, data aggregation technology can effectively overcome the energy constraint in wireless sensor networks, place redundant information, reducing network data traffic, thereby saving energy WSN nodes to extend WSN lifetime. WSN data aggregation technology has become a research focus.This dissertation analyses and studies some of the existing home and abroad typical data aggregation algorithms, and the advantages and disadvantages of these algorithms for analysis and comparison, From the actual situation of agricultural production on large-scale wireless sensor networks, remote temperature monitoring of vegetable greenhouses, the user needs to know the average temperature of a particular region, this region may contain a large number of nodes; due to bandwidth and battery power constraints, in order to reduce the large amount of data transmission as a result of energy consumption, on this basis propose a distributed data aggregation algorithms to collect data from each sensor node. Implementation of the process of this algorithm, the nodes do not need to know the global information system, so that the system can reduce total energy consumption of the node. Running the algorithm allows multiple sensor nodes to start the process of data aggregation, data aggregation on the way in parallel to the cluster head to transmit information, all nodes are to decide the next hop transmission direction, and avoids the preservation of the global routing information, which can be reduce the delay. Algorithm to dynamically select a different node as the cluster head, which ensures that energy consumption is dynamically distributed in the system on all nodes. The simulation results from the system point of view, the algorithm can reduce the delay, effectively reduce energy consumption.