Multi-channel pipelined data collection method for linear sensor network based on duty cycle scheduling

Abstract

The invention discloses a multi-channel pipelined data collection method for a linear sensor network based on duty cycle scheduling, which comprises the following steps: S1, M orthogonal channels exist in the network, all nodes initially work on the same channel, and a sink node broadcasts a probe packet on the channel; and S2, N nodes in the one-hop range of the sink send a reply packet to the sink in a competition mode after receiving the probe packet, each time the sink receives a reply packet, the receiving sequence of the reply packet is recorded, a confirmation packet is replied immediately, and the sequence is informed to the sending node of the received reply packet; S3, after the N acknowledgement packets are sent, the sink sends a data packet II used for initializing the network every fixed time, and the data packet II is sent for the same time; and S4, after receiving the II packet, the node which is not added into the network judges whether to receive or discard the II packet. If the packet can be received, node attributes are set to join the network, and then the packet is updated and rebroadcasted; and S5, after the node joins the network, it is switched to the allocated channel, and the sensing data is sent to the sink hop by hop.

Description

technical field [0001] The invention relates to a media access control protocol in a wireless sensor network, in particular to a multi-channel pipelined data collection method for a linear sensor network based on duty cycle scheduling Background technique [0002] The Internet of Things (IoT) connects objects through the network to realize the perception and control of objects, which plays many important roles in people's daily life. One of the most popular branches in IoT is Wireless Sensor Network (WSN), which is composed of many wireless sensor nodes with data monitoring and communication capabilities. Using this feature, WSN can be distributed in some remote and dangerous areas, satisfying People need to monitor all the time but it is not convenient to measure. [0003] Depending on the topology of the area to be measured, the distribution of nodes is also different. For example, when monitoring areas such as bridges, tunnels, and pipelines, nodes need to be arranged l...

AI Technical Summary

Problems solved by technology

However, in this strategy, the interference and delay between nodes with the same communication hops away from the sink still exist. If the number of such nodes increases, the competition and interference between nodes will be more serious, and the network performance will also decline accordingly.

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