A Lifetime Optimization Method for Wireless Sensor Networks with Mobile Sink Nodes

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 (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.) It is composed of the Sink node that forwards the sensing data of the sensor node. 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 nodes ...

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 infinitely free.

However, in the actual wireless sensor network system, excessive data transmission hops are prone to packet loss, and even the data transmission with the Sink node cannot be realized.

At the same time, due to the limitation of hardware cost, the data storage space of sensor nodes is limited, and the data transmission delay of sensor nodes should not be very large, otherwise a large amount of data will be lost

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