This wireless body sensor network technology to the underground search and rescue personnel when abnormal system, an exception occurs in the underground to achieve personnel location information and physical condition information collection, will help rescue personnel rescue program to develop efficient, thus significantly improve the the level of underground search and rescue personnel. This paper applies genetic algorithm wireless sensor network underground multi-objective optimization design, the design of the underground network networking strategy to develop the appropriate coding scheme, combined with various important parameters, the establishment of a fitness function. Simulation results show that network design based on genetic algorithm optimization of energy management, to achieve the longest life cycle of the network.%将无线躯体传感网络技术结合到井下异常时的人员搜救系统中,在井下出现异常时,实现人员位置信息与生理状况信息的采集,有助于营救人员制定高效的营救方案,从而显著提高井下人员搜救水平;将遗传算法应用于井下无线传感网络的多目标优化设计,设计了井下网络的组网策略,制定了适当的编码机制,并结合多方面重要参数,建立了适应度函数;通过MATLAB仿真表明了基于遗传算法的网络设计能够很好地优化能量管理,并使网络生命周期达到最长.
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