A target group tracking algorithm based on a hybrid sensor network

• 来源期刊: 中国物理B（英文版）
• 关键词: hybrid sensor network target group tracking mobile sensors
• 年，卷（期）: 2018,（8）
• 页码范围: 77-86
• 页数: 10页
• 语种: 英文
• DOI: 10.1088/1674-1056/27/8/080101

摘要

Traditional tracking algorithms based on static sensors have several problems. First, the targets only occur in a part of the interested area;however, a large number of static sensors are distributed in the area to guarantee entire coverage, which leads to wastage of sensor resources. Second, many static sensors have to remain in active mode to track the targets, which causes an increase of energy consumption. To solve these problems, a target group tracking algorithm based on a hybrid sensor network is proposed in this paper, which includes static sensors and mobile sensors. First, an estimation algorithm is proposed to estimate the objective region by static sensors, which work in low-power sensing mode. Second, a movement algorithm based on sliding windows is proposed for mobile sensors to obtain the destinations. Simulation results show that this algorithm can reduce the number of mobile sensors participating in the tracking task and prolong the network lifetime.