Parameter adaptive adjustment method of wireless sensor network

A wireless sensor and adaptive adjustment technology, applied in wireless communication, network topology, electrical components, etc., can solve the problems of shortened network life, increased energy consumption communication complexity, etc., to reduce complexity, reduce overhead, and improve convergence rate. Effect

Inactive Publication Date: 2019-03-12
BEIJING UNIV OF POSTS & TELECOMM
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  • Claims
  • Application Information

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Problems solved by technology

However, due to the increase of configuration request frames and configuration frames, the overall energy consumption of the network and

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  • Parameter adaptive adjustment method of wireless sensor network
  • Parameter adaptive adjustment method of wireless sensor network
  • Parameter adaptive adjustment method of wireless sensor network

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Embodiment Construction

[0047] The specific embodiment of the present invention will be further described below in conjunction with specific examples:

[0048] Step S101: Initialize the network topology and communication mechanism. The present invention is given a star wireless sensor network, such as figure 1 As shown, it consists of a coordinator node and n sensor sub-nodes. All sensor nodes use the CSMA / CA access mechanism to access the channel. The flow chart of the CSMA / CA algorithm is as follows: figure 2 shown. When the sensor node successfully accesses the channel to send, but fails to receive the ACK returned by the coordinator, the sensor node will retransmit. The retransmission mechanism is as follows: image 3 shown.

[0049] Step S102: Select a learning algorithm and set an optimization goal of the learning algorithm. Each sensor node uses the Q learning algorithm to adjust the wired transmission rate and delay of the communication between itself and the coordinator, and the learni...

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Abstract

The invention discloses a parameter adaptive adjustment method of a wireless sensor network. A star network topological model is used; the sensor network is composed of a sensor node and a coordinator; the node is used for collecting sensor data; and the coordinator is taken as a convergence device of the whole sensor network, and is used for collecting the sensor data uploaded by the node. An 802.15.4 protocol based on a time slot CSMA/CA is adopted in communication of the wireless sensor network, and a Q-learning algorithm is used to dynamically optimize parameter settings of the protocol, so that the problem of adaptability of the 802.15.4 protocol to a position network environment can be effectively solved; while the quality of network service is improved, the overhead of the network is effectively reduced; and thus, the parameter adaptive adjustment method is an optimization method of the wireless sensor network with strong adaptability, high timeliness and good quality of service.

Description

technical field [0001] The present invention relates to the MAC layer access technology and Q learning algorithm of wireless sensor network, based on the basic MAC access mechanism CSMA / CA technology in the IEEE 802.15.4 communication protocol, the important parameters of the access mechanism are adjusted through the Q learning algorithm , so as to optimize the service quality of the wireless sensor network. Specifically, it is a parameter adaptive adjustment method based on distributed Q-learning in a wireless sensor network. Background technique [0002] In low-latency deterministic wireless sensor networks, the 802.15.4 protocol based on the CSMA / CA access mechanism has been widely used. However, since CSMA / CA is a competitive MAC protocol, each node may collide when accessing the channel and sending data, so it is necessary to perform idle channel detection, backoff and retransmission. In the standard CSMA / CA mechanism, the backoff and retransmission times are generall...

Claims

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Application Information

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IPC IPC(8): H04W24/02H04W74/08H04W84/18
CPCH04W24/02H04W74/0808H04W84/18
Inventor 刘元安李尚南张洪光范文浩吴帆
Owner BEIJING UNIV OF POSTS & TELECOMM
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