Mobile Sink data collection method for wireless sensor network based on tree cluster

Abstract

The invention discloses a mobile Sink data collection method for a wireless sensor network based on a tree cluster. The method comprises the steps of establishing a distributed tree cluster; calculating node weights by taking surrounding energy and density information of nodes into comprehensive consideration; selecting suitable root nodes as resident points RPs of a mobile Sink through distributed information exchange of a local range; accessing all RPs by the mobile Sink for data collection in a stable data collection stage; providing a new conditional re-clustering method; setting data collection number of rounds; and selecting new RPs for alternation. According to the method, the hotspot problem can be effective mitigated; the network load can be balanced; the energy consumption of nodes can be reduced; and the network lifetime can be prolonged.

Description

technical field [0001] The invention belongs to the field of wireless sensor networks, and in particular relates to a mobile sink data collection method of a tree cluster-based wireless sensor network. Background technique [0002] In recent years, the scheme of using mobile sinks for data collection in wireless sensor networks (WSN) has attracted more and more attention. In the process of using mobile sink for WSN data collection, on the one hand, after the sink moves, it can effectively alleviate the "hot zone" problem with the constant changes of its surrounding nodes; on the other hand, after using the mobile sink, it can significantly improve the real-time data collection. sex and reliability. However, the Sink location needs to be updated frequently, which brings huge topology maintenance cost and control overhead to the network. At the same time, the selection of the mobile Sink residence point needs to be weighed with the length of the mobile circuit. If the selecte...

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Problems solved by technology

[0012] 1) If the mobile sink collects while moving, it needs to perform frequent location updates periodically or aperiodically, which brings huge topology maintenance costs and control overhead to the network;

[0013] 2) The selection of the mobile Sink dwell point and the trade-off of the length of the mobile circuit. If the selected dwell point is small, the number of hops in the multi-hop route will be too long and the load will be unbalanced; if too many dwell points are selected, the The length of the mobile sink circuit is too long, which reduces the real-time performance;

[0014] 3) Based on the mobile sink data collection algorithm of hierarchical network topology, if the load around the selected resident point is heavy, or the data aggregation point is used for a long time, it will inevitably lead to the problem of unbalanced energy consumption of nodes and affect the life of the network

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