科技通报
科技通報
과기통보
BULLETIN OF SCIENCE AND TECHNOLOGY
2014年
2期
68-70
,共3页
无线传感器网络%小集群%节点%优化覆盖
無線傳感器網絡%小集群%節點%優化覆蓋
무선전감기망락%소집군%절점%우화복개
wireless sensor networks%small cluster%node%optimum coverage
无线传感器网络中,为最优化地设置传感器节点,实现最优化的节点信息覆盖,同时减少收敛迭代次数。提出了一种基于小集群最优特征的传感节点优化覆盖算法。通过计算每个个体的适应度,淘汰适应度较低的小集群,复制高适应度的个体,并提出用区域覆盖率这一评价指标体系,使用小集群最优特征适应度函数控制算法流程。根本上减少了收敛次数并提高了计算精度。仿真实验表明对无线传感器网络覆盖进行优化设计仿真迭代次数到183,覆盖收敛,新算法的有效覆盖率为91.2%,结果展示了算法在无线传感器网络中具有较好的时效性和应用性。
無線傳感器網絡中,為最優化地設置傳感器節點,實現最優化的節點信息覆蓋,同時減少收斂迭代次數。提齣瞭一種基于小集群最優特徵的傳感節點優化覆蓋算法。通過計算每箇箇體的適應度,淘汰適應度較低的小集群,複製高適應度的箇體,併提齣用區域覆蓋率這一評價指標體繫,使用小集群最優特徵適應度函數控製算法流程。根本上減少瞭收斂次數併提高瞭計算精度。倣真實驗錶明對無線傳感器網絡覆蓋進行優化設計倣真迭代次數到183,覆蓋收斂,新算法的有效覆蓋率為91.2%,結果展示瞭算法在無線傳感器網絡中具有較好的時效性和應用性。
무선전감기망락중,위최우화지설치전감기절점,실현최우화적절점신식복개,동시감소수렴질대차수。제출료일충기우소집군최우특정적전감절점우화복개산법。통과계산매개개체적괄응도,도태괄응도교저적소집군,복제고괄응도적개체,병제출용구역복개솔저일평개지표체계,사용소집군최우특정괄응도함수공제산법류정。근본상감소료수렴차수병제고료계산정도。방진실험표명대무선전감기망락복개진행우화설계방진질대차수도183,복개수렴,신산법적유효복개솔위91.2%,결과전시료산법재무선전감기망락중구유교호적시효성화응용성。
For the aims of setting the sensor network nodes and realization of the optimum coverage of the nodes informa-tion in the wireless sensor networks system, the coverage optimization algorithm of sensor nodes distribution of wireless sensor networks was proposed based on small cluster optimal feature. The fitness of each individual was calculated ac-cording to the optimum feature based on the small cluster, the high fitness individuals were duplicated. The computation-al accuracy and the convergence rate were improved essentially. Simulation result shows that the iterations are 183 and the optimum coverage solution can be reached, and the effective coverage rate can reach 91.2%, the results show the new method has good performance in the sensor network application with real time property.