Technology for optimizing service life of heterogeneous wireless sensor network based on ant colony search algorithm

A heterogeneous sensor and wireless sensor technology, applied in wireless communication, network topology, network planning, etc., can solve problems such as poor robustness and inability to apply heterogeneous wireless sensor networks, so as to improve optimization efficiency and avoid optimization difficulties

Inactive Publication Date: 2011-05-18
SUN YAT SEN UNIV
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Problems solved by technology

[0005] In order to overcome the poor robustness of existing methods and the inability to be applied to heterogeneous wireless sensor networks, the present invention proposes a zero-premise based ant colony search algorithm, which can simultaneously ensure complete coverage of monitoring targets and maintain network connectivity, and A Lifetime Optimization Technique Applicable to Heterogeneous Wireless Sensor Networks with Point Coverage and Area Coverage

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  • Technology for optimizing service life of heterogeneous wireless sensor network based on ant colony search algorithm
  • Technology for optimizing service life of heterogeneous wireless sensor network based on ant colony search algorithm
  • Technology for optimizing service life of heterogeneous wireless sensor network based on ant colony search algorithm

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Embodiment Construction

[0015] The method of the present invention will be further described below in conjunction with the accompanying drawings.

[0016] figure 1 An example of a subset of connected overlay devices that satisfies the overlay constraints, data collection constraints, and routing constraints is given. The lifetime optimization technology proposed in the present invention is to find as many connected coverage subsets as possible from the heterogeneous wireless sensor network, so as to optimize the lifetime of the network under the premise of ensuring complete coverage of monitoring targets and maintaining network connectivity.

[0017] image 3 The overall flowchart of the optimization technique proposed by the present invention is given. The specific implementation method of the present invention will be described step by step according to the flow chart below.

[0018] 1. Initialization

[0019] In the initialization phase, each control parameter is set, and the upper limit of th...

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Abstract

The invention discloses a technology for optimizing the service life of a heterogeneous wireless sensor network based on an ant colony search algorithm. The technology considers two constraints that the wireless sensor network must completely cover a monitoring target and the network connectivity needs to be maintained. The service life of the heterogeneous wireless sensor network is optimized through subsets meeting the coverage and the connectivity constraints by the division of different types of devices in the network as much as possible simultaneously. The technology self-adaptively constructs a solution construction graph according to search results of the last generation of the ant colony search algorithm, and each ant constructs a device division strategy based on the solution construction graph under the guidance of pheromone and heuristic information. The method for self-adaptively constructing the solution construction graph avoids the optimization difficulty caused by the presetting of too many subsets, and also provides guidance for further optimization. The pheromone records historical information of a subset structure and the heuristic information reflects the desirability of the subsets on a certain device, so the ant can be guided to highly and efficiently set up a high-quality solution by the combination of the pheromone and the heuristic information. Moreover, the technology also introduces a local search algorithm based on redundant equipment allocation, thereby the optimization efficiency of the technology is further improved.

Description

Technical field: [0001] The invention relates to two major fields of wireless sensor networks and intelligent computing, and mainly discloses a lifetime optimization technology for heterogeneous wireless sensor networks based on an ant colony search algorithm. Background technique: [0002] With the development of microelectronics technology and communication technology, real-time surveillance has become a reality in applications such as battlefield surveillance, environmental surveillance, and traffic management. These applications usually require wireless sensor networks, and their quality of service is closely related to the performance of wireless sensor networks. A basic criterion for evaluating wireless sensor networks is the lifetime of the network, that is, the time when the network can meet the application requirements. Since most of the current wireless sensor networks are powered by disposable batteries, how to improve the utilization efficiency of batteries to p...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W16/18H04W24/02H04W84/18
Inventor 张军林盈周琦
Owner SUN YAT SEN UNIV
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