作者: Huafeng Wu , Qiannan Zhang , Su Nie , Wei Sun , Xinping Guan
DOI: 10.1155/2013/725869
关键词: Energy consumption 、 Genetic algorithm 、 Search and rescue 、 Dynamic network analysis 、 Wireless sensor network 、 Energy (signal processing) 、 Computer network 、 Position (vector) 、 Computer science 、 Real-time computing
摘要: Currently, maritime search and rescue (MSR) is mainly depending on the party, while searching objects are waiting passively. Therefore, a new method of MSR which based wireless sensor network (WSN) techniques proposed in this paper. WSN could be self-organized into transmit nodes information, such as position for party to accomplish work. However, application encounters problems dynamic adaptability life cycle limitation at sea. An energy distribution optimization algorithm (EDDO), genetic (GA), presented handle with these problems. The satisfies connectivity saving network, GA elitism-based immigrants approach put forward optimize poor individuals when positions some have changed. Simulation results show that can quickly adapt reduce consumption same time.