Genetic algorithm-tabu search for mobile agents measurement scheduling in wireless sensor networks

WANG Sheng; WANG Xue; BI Dao-wei

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Genetic algorithm-tabu search for mobile agents measurement scheduling in wireless sensor networks

更新时间：2024-10-14

- Genetic algorithm-tabu search for mobile agents measurement scheduling in wireless sensor networks
- Vol. 29, Issue 11, Pages: 194-199(2008)
- 作者机构：
  
  清华大学精密仪器与机械学系精密测试技术及仪器国家重点实验室
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN929.5;TP212.9
- Published：2008
- 稿件说明：
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WANG Sheng, WANG Xue, BI Dao-wei. Genetic algorithm-tabu search for mobile agents measurement scheduling in wireless sensor networks[J]. 2008, 29(11): 194-199.
DOI：

WANG Sheng, WANG Xue, BI Dao-wei. Genetic algorithm-tabu search for mobile agents measurement scheduling in wireless sensor networks[J]. 2008, 29(11): 194-199. DOI：

摘要

提出一种基于遗传算法和禁忌搜索算法混合优化的移动代理测量调度方法

用于实现测量过程中移动代理派遣次序的优化调度。该机制综合考虑了各移动代理的产生时序、优先级和能耗等指标

在确保各移动代理有效执行的前提下

使代理派遣次序更合理。仿真实验表明

基于遗传算法和禁忌搜索混合优化的移动代理测量调度可以有效降低无线传感器器网络能耗和减少延迟

延长网络寿命

改善网络实时性和测量性能。

Abstract

A mixed strategy for mobile agents measurement scheduling in WSN was proposed

which was combined by genetic algorithm and tabu search. The proposed scheduling strategy takes the creation sequence

priority and energy consumption of mobile agents into consider

for reasonablely dispatching multiple mobile agents and ensuring the meas- urement performance of WSN. Simulation results demonstrate that the proposed algorithm can effectively arrange the order of mobile agents dispatching

where the energy consumption and time delay can be remarkablely decreased and the lifetime of WSN can be accordingly prolonged.

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