传感技术学报
傳感技術學報
전감기술학보
Journal of Transduction Technology
2014年
1期
100-106
,共7页
水下传感网%移动传感网%三维传感网%有向覆盖%目标追踪
水下傳感網%移動傳感網%三維傳感網%有嚮覆蓋%目標追蹤
수하전감망%이동전감망%삼유전감망%유향복개%목표추종
underwater sensor networks%mobile sensor networks%3D sensor networks%directional coverage%objects tracking
水下传感网中实现多个移动目标的协同追踪任是一个技术难题,针对这个问题论文提出了一种分布式的多目标有向路径覆盖增强算法。在实际的三维水下传感网中,水下传感器节点会随着水流运动而移动,被追踪的目标具有自主行动能力。假设移动规律遵从Meandering Current Mobility模型,多个运动目标沿着基于概率的Random Walk移动模型轨迹运动。在论文提出的算法中,覆盖运动路径的传感器节点通过两跳邻居节点范围内的水下传感器节点协同决策来实现最大化路径覆盖,通过调整水下传感器节点自身的有向覆盖方向达到多目标轨迹路径有向覆盖率平均值最大,并使多目标轨迹路径有向覆盖率标准方差尽量小。最后论文通过MATLAB软件仿真来验证分布式覆盖增强算法的有效性,能够显著提高多个移动目标的路径覆盖率。
水下傳感網中實現多箇移動目標的協同追蹤任是一箇技術難題,針對這箇問題論文提齣瞭一種分佈式的多目標有嚮路徑覆蓋增彊算法。在實際的三維水下傳感網中,水下傳感器節點會隨著水流運動而移動,被追蹤的目標具有自主行動能力。假設移動規律遵從Meandering Current Mobility模型,多箇運動目標沿著基于概率的Random Walk移動模型軌跡運動。在論文提齣的算法中,覆蓋運動路徑的傳感器節點通過兩跳鄰居節點範圍內的水下傳感器節點協同決策來實現最大化路徑覆蓋,通過調整水下傳感器節點自身的有嚮覆蓋方嚮達到多目標軌跡路徑有嚮覆蓋率平均值最大,併使多目標軌跡路徑有嚮覆蓋率標準方差儘量小。最後論文通過MATLAB軟件倣真來驗證分佈式覆蓋增彊算法的有效性,能夠顯著提高多箇移動目標的路徑覆蓋率。
수하전감망중실현다개이동목표적협동추종임시일개기술난제,침대저개문제논문제출료일충분포식적다목표유향로경복개증강산법。재실제적삼유수하전감망중,수하전감기절점회수착수류운동이이동,피추종적목표구유자주행동능력。가설이동규률준종Meandering Current Mobility모형,다개운동목표연착기우개솔적Random Walk이동모형궤적운동。재논문제출적산법중,복개운동로경적전감기절점통과량도린거절점범위내적수하전감기절점협동결책래실현최대화로경복개,통과조정수하전감기절점자신적유향복개방향체도다목표궤적로경유향복개솔평균치최대,병사다목표궤적로경유향복개솔표준방차진량소。최후논문통과MATLAB연건방진래험증분포식복개증강산법적유효성,능구현저제고다개이동목표적로경복개솔。
Collaborative tracking of multiple moving targets in mobile 3D underwater sensor networks remains to be a conundrum;therefore, this paper presents a distributed multi-target path coverage enhancement algorithm to be directed against above problem. Underwater sensor nodes are assumed to be mobile due to ocean current and the detective targets have the ability of autonomous mobility in practical mobile 3D underwater sensor networks. The movement law of underwater sensor nodes and multiple moving targets comply with Meandering Current Mobility models and Random Walk mobility model based on probability respectively. In our algorithm, the maximal path coverage ratio of multi-target trajectory paths is achieved by the collaborative decision-making within the two-hop neighbor nodes. The directional coverage orientations is decided with the objective to maximize path coverage ratio, moreover,the coverage ratio standard deviation of different target trajectory paths remains to be as small as possible. Finally,the effectiveness of distributed coverage enhancement algorithm is verified by MATLAB simulation and the results proved significantly improvement of multi-target path coverage ratio.