Selection method of observer nodes in wireless sensor network

Abstract

The invention discloses a selection method of observer nodes in a wireless sensor network. The selection method comprises the following steps: cluster-head nodes start selection negotiation of the observer nodes; cluster member nodes predict observation quality increment after participating in observation; the cluster member nodes judge whether the observation quality increment is more than zero after participating in observation, if no, the cluster member nodes are in an idle state; if yes, the cluster member nodes calculate cost values of participating in observation, and send the cost values to the cluster-head nodes; the cluster-head nodes add a node which has the minimum observation cost value and selected from the cost values received from the cluster member nodes to an observer node set; the cluster-head checks whether the existing observer node set meets the observation quality requirements, if yes, the cluster-head completes the selection negotiation process of the observer nodes in a cluster; if no, the cluster-head returns to start the next selection. The selection method of observer nodes in a wireless sensor network can reduce energy consumption of the network on the premise of meeting the data quality requirements of users.

Description

technical field [0001] The invention relates to the technical fields of wireless self-organization and sensor networks, in particular to a method for selecting observation nodes in a wireless sensor network. Background technique [0002] With the development of sensor technology, embedded chip technology, distributed information processing technology and wireless network technology, Wireless Sensor Network (WSN) has emerged as a ubiquitous computing platform. WSN is an "intelligent" autonomous measurement and control network system composed of a large number of ubiquitous tiny sensor nodes with communication and computing capabilities densely arranged in unattended monitoring areas that can independently complete specified tasks according to the environment. It is a network composed of tiny nodes integrating sensors, data processing units and wireless communication modules through self-organization and random distribution. It relies on the built-in sensors of the node to pe...

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Problems solved by technology

[0005] For this reason, in the existing observation node selection methods, some of them use random probability to select the nodes participating in the observation. Although the implementation is simple, it cannot guarantee that the selected nodes can meet the requirements of observation quality, or there are too many nodes selected, which is wasteful. The energy of the network is increased; some adopt the nearest node first method, and preferentially select the nodes closest to the measured object to participate in the observation. Although this method avoids the blindness of the random selection method, it leads to long-term participation of nodes close to the measured object. , consume too much energy and die prematurely, which shortens the lifetime of the network

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