Double cluster wireless sensor network based adaptive communication method

Abstract

The invention relates to an self-adaptive communications method for double-clustering wireless sensor network, which comprises the following steps: M, the communications inside the cluster, the cluster members send the data to a cluster head; N, the communications between the clusters, namely the communications between the cluster heads; when two cluster heads are positioned at the same virtue cluster, the two cluster heads implement data interaction at the communications time of period between the clusters; when the two cluster heads are positioned at different virtue clusters, the two cluster heads implement data interaction at the self-adaptive communications time of period between virtual clusters; a cluster head node at the common boundary of the two virtual clusters needs an self-adaptive communications time of period between the virtues clusters in a superframe cycle; depending on relevant starting and ending time of the communications time of period of the opposite clusters, the time of period of self-adaptive communications is set at a corresponding position in the superframe cycle of the cluster head. The invention enables better support for the data transmission in the network, and has good energy efficiency and the expansion of the network scale; and has poor requirement for the clock synchronous requirement of node, thereby the invention is suitable for design in the MAC layer of the sensor network node with limited resource.

Description

[0001] It is suitable for sensor data communication, hierarchical routing management and node dynamic sleep low energy management of large-scale randomly deployed wireless sensor networks. This communication method is mainly designed at the MAC layer of wireless sensor networks technical field [0002] The invention belongs to the technical field of wireless sensor networks, in particular to an adaptive communication method for wireless sensor networks based on dual clustering. Background technique [0003] With the rapid development and maturity of sensor technology, wireless communication technology, embedded computing technology, and distributed information processing technology, micro-sensors and networks with perception, computing, and communication capabilities have begun to appear on a large scale. The wireless sensor network can collaboratively detect, track and collect information of various environments or monitoring objects in the network deployment area in real ti...

AI Technical Summary

Problems solved by technology

For example, the well-known S-MAC protocol proposes the idea of ​​virtual clustering, that is, each node maintains a superframe scheduling mechanism, but in terms of topology control, it is still a flat structure, so it cannot effectively support large-scale networks. Moreover, there are problems in the design of S-MAC itself, such as: the burden of border nodes is too heavy, there is no effective rotation mechanism, there is no network energy balance mechanism, it cannot effectively support collaborative processing, and the data transmission delay is limited by two hops.

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