A Layered Energy-Efficient Multi-Node Scheduling Mechanism for Large-Scale WSN  

作　　者：Xue Zhao Shaojun Tao Hongying Tang Jiang Wang Baoqing Li 

机构地区：[1]Science and Technology on Microsystem Laboratory,Shanghai Institute of Microsystem and Information Technology,Chinese Academy of Sciences,Shanghai,200050,China

出　　处：《Computers, Materials & Continua》2024年第4期1335-1351,共17页计算机、材料和连续体（英文）

基　　金：the Project Program of Science and Technology on Micro-System Laboratory,No.6142804220101.

摘　　要：In recent years, target tracking has been considered one of the most important applications of wireless sensornetwork (WSN). Optimizing target tracking performance and prolonging network lifetime are two equally criticalobjectives in this scenario. The existing mechanisms still have weaknesses in balancing the two demands. Theproposed heuristic multi-node collaborative scheduling mechanism (HMNCS) comprises cluster head (CH)election, pre-selection, and task set selectionmechanisms, where the latter two kinds of selections forma two-layerselection mechanism. The CH election innovatively introduces the movement trend of the target and establishesa scoring mechanism to determine the optimal CH, which can delay the CH rotation and thus reduce energyconsumption. The pre-selection mechanism adaptively filters out suitable nodes as the candidate task set to applyfor tracking tasks, which can reduce the application consumption and the overhead of the following task setselection. Finally, the task node selection is mathematically transformed into an optimization problem and thegenetic algorithm is adopted to form a final task set in the task set selection mechanism. Simulation results showthat HMNCS outperforms other compared mechanisms in the tracking accuracy and the network lifetime.

关 键 词：Node scheduling pre-selection target tracking WSN 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]