Lifetime optimization method of mobile Sink-based wireless sensor network

A wireless sensor network and optimization method technology, applied in wireless communication, network topology, advanced technology, etc., can solve the problem that the data transmission delay of sensor nodes should not be too large, and the data transmission delay and hop count, data Lost and other issues

Active Publication Date: 2016-01-13
ZHEJIANG SHUREN UNIV
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AI Technical Summary

Problems solved by technology

No matter how the algorithm is adjusted, there will always be the following problems: the sensor nodes close to the sink node need to send more data from other sensor nodes, resulting in faster energy consumption of these sensor nodes and premature failure
[0005] However, these methods do not consider the limited data transmission delay and hop count at the same time, and assume that the data cache of the sensor node is in

Method used

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  • Lifetime optimization method of mobile Sink-based wireless sensor network
  • Lifetime optimization method of mobile Sink-based wireless sensor network
  • Lifetime optimization method of mobile Sink-based wireless sensor network

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Embodiment approach

[0075] 2) The Sink node analyzes the constraint conditions, and establishes a network lifetime optimization model with limited data transmission delay and hop count. The specific preferred implementation method of this step is as follows:

[0076]a1) Analyze data transmission delay constraints. In the actual wireless sensor network system, the data transmission delay is limited. According to the dwell time of the Sink node moving one round along the selected path and cannot be greater than the maximum allowable data transmission delay, the following formula is obtained

[0077] Σ p t p = t d e l a y - - - ( 1 )

[0078] Among them, t p Indicates the residence time of Sink on the grid center p, t delay...

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Abstract

The invention relates to a lifetime optimization method of a mobile Sink-based wireless sensor network. The method includes the following steps that: 1) after the network is started, a sink node broadcasts an information query packet and receives the position coordinate information of sensor nodes, and adds the position coordinate information of the sensor nodes into a sensor node information table of the Sink node; 2) the Sink node analyzes constraint conditions, and establishes a data transmission delay and hop count-constrained network lifetime optimization model; 3) the Sink node uses a modified genetic algorithm to solve a network lifetime optimization model, and optimal schemes about network lifetime, the movement path of the Sink node and stay time at each stay position of the Sink node are calculated. With the lifetime optimization method of the mobile Sink-based wireless sensor network of the invention adopted, network lifetime can be prolonged, and node energy consumption and node data loss can be decreased.

Description

technical field [0001] The invention relates to the field of mobile wireless sensor networks, in particular to a method for optimizing the lifetime of a wireless sensor network with mobile sink nodes. Background technique [0002] Wireless sensor networks (wireless sensor networks, WSNs) are mainly composed of sensor nodes that are used to collaboratively monitor physical or environmental conditions (such as temperature, sound, vibration, pressure, motion, etc.) Sensor nodes are composed of Sink nodes that perceive data. WSNs have been applied to all aspects of people's lives, such as building structural health, remote health monitoring, precision agriculture, home automation, smart grid and intelligent transportation, etc., and have broad application value and market value. In wireless sensor networks, sensor nodes are powered by batteries, and battery replacement or charging is not feasible in most cases. Therefore, in order to achieve a long network lifetime, sensor nod...

Claims

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Application Information

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IPC IPC(8): H04W24/02H04W52/02H04W84/18
CPCH04W24/02H04W52/0209H04W84/18Y02D30/70
Inventor 陈友荣王章权吕何新任条娟刘半藤刘耀林
Owner ZHEJIANG SHUREN UNIV
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