A data acquisition method based on wireless sensor network

Abstract

The invention discloses a data acquisition method based on a wireless sensor network. The method considers the distance between one sensor node and a reception base station and self residual energy, and considers the number of candidate relay nodes of the node and forwarding capability thereof as well as forwarding capability of nodes on subsequent transmission paths of the node in the data acquisition process; with such factors being considered, comprehensive calculation is carried out to obtain forwarding capability of the node, and capability of the node serving as a candidate node can be measured accurately; and therefore, the method can effectively balance network energy consumption and improve network lifetime. The method also takes the influence of wireless channel quality on data reception rate into consideration, and dynamically determines a next-hop relay node according to the wireless channel quality when the node forwards the data, so that data retransmission times can be reduced effectively, data delivery rate is improved and network lifetime is prolonged.

Description

technical field [0001] The disclosure relates to the fields of data collection and wireless sensor networks, in particular to an efficient and automatic collection method for field perception data based on wireless sensor networks. Background technique [0002] At present, with the in-depth development of communication technology and computer technology, the wireless sensor network (WirelessSensor Network, WSN) has been rapidly popularized and applied. WSN is a wireless network, including a large number of stationary or mobile sensor nodes (Sensor), which transmits the perceived and collected data to the sink node (Sinknode) or base station (Base Station, BS) in an ad hoc and multi-hop manner. The sensor nodes deployed in WSN have many uses, such as detecting various phenomena in the surrounding environment including earthquake, electromagnetic, temperature, humidity, noise, light intensity, pressure, soil composition, size, speed and direction of moving objects, etc. There...

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Problems solved by technology

In this method, the division of regions is very difficult, and the cluster heads are faced with a large number of data collection and transmission tasks, and the transmission interference they face is huge, which will easily lead to increased data retransmission times and serious energy consumption.

Existing methods based on energy balance often only consider the remaining energy of the current node and surrounding neighbor nodes, and generally select the node with more remaining energy in the neighbor nodes, without considering other nodes on the transmission path passed by the data collection process. Energy consumption, it is easy to make the data collection method fall into local optimum and shorten the network lifetime

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