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REBTAM: reliable energy balance traffic aware data reporting algorithm for object tracking in multi-sink wireless sensor networks

机译:REBTAM:可靠的能量平衡流量感知数据报告算法,用于多宿无线传感器网络中的对象跟踪

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摘要

Recently, Multi-sink Wireless Sensor Networks (WSNs) have received more and more attention due to their significant advantages over the single sink WSNs such as improving network throughput, balancing energy consumption, and prolonging network lifetime. Object tracking is regarded as one of the key applications of WSNs due to its wide real-life applications such as wildlife animal monitoring and military area intrusion detection. However, many object tracking researches usually focus on how to track the location of objects accurately, while few researches focus on data reporting. In this work, we propose an efficient data reporting method for object tracking in multi-sink WSNs. Due to the limited energy resource of sensor nodes, it seems especially important to design an energy efficient data reporting algorithm for object tracking in WSNs. Moreover, the reliable data transmission is an essential aspect that should be considered when designing a WSN for object tracking application, where the loss of data packets will affect the accuracy of the tracking and location estimation of a mobile object. In addition, congestion in WSNs has negative impact on the performance, namely, decreased throughput, increased per-packet energy consumption and delay, thus congestion control is an important issue in WSNs. Consequentially, this paper aims to achieve both minimum energy consumption in reporting operation and balanced energy consumption among sensor nodes for WSN lifetime extension. Furthermore, data reliability is considered in our model where the sensed data can reach the sink node in a more reliable way. Finally, this paper presents a solution that sufficiently exerts the underloaded nodes to alleviate congestion and improve the overall throughput in WSNs. This work first formulates the problem as 0/1 Integer Linear Programming problem, and proposes a Reliable Energy Balance Traffic Aware greedy Algorithm in multi-sink WSNs (REBTAM) to solve the optimization problem. Through simulation, the performance of the proposed approach is evaluated and analyzed compared with the previous work which is related to our topic such as DTAR, NBPR, and MSDDGR protocols.
机译:近年来,多接收器无线传感器网络(WSN)由于其比单接收器WSN的显着优势(例如,提高网络吞吐量,平衡能量消耗和延长网络寿命)而受到越来越多的关注。对象跟踪由于其广泛的现实生活应用(例如野生动物监控和军事区域入侵检测)而被视为WSN的关键应用之一。但是,许多对象跟踪研究通常集中在如何准确跟踪对象的位置上,而很少有研究集中在数据报告上。在这项工作中,我们提出了一种用于多接收WSN中对象跟踪的有效数据报告方法。由于传感器节点的能量资源有限,因此设计一种用于WSN中对象跟踪的节能数据报告算法显得尤为重要。此外,可靠的数据传输是在设计用于对象跟踪应用的WSN时应考虑的重要方面,其中数据包的丢失将影响移动对象的跟踪和位置估计的准确性。另外,无线传感器网络中的拥塞对性能有负面影响,即吞吐量降低,每分组能量消耗增加和延迟,因此拥塞控制是无线传感器网络中的重要问题。因此,本文旨在实现WSN生命周期延长的报告操作中的最低能耗和传感器节点之间的平衡能耗。此外,在我们的模型中考虑了数据可靠性,在该模型中,感测到的数据可以更可靠的方式到达接收节点。最后,本文提出了一种解决方案,可以充分利用欠载节点来缓解拥塞并提高WSN的整体吞吐量。这项工作首先将问题表达为0/1整数线性规划问题,然后提出一种在多宿WSN(REBTAM)中的可靠的能量平衡交通感知贪婪算法来解决优化问题。通过仿真,与以前与我们的主题(例如DTAR,NBPR和MSDDGR协议)相关的工作相比,对所提出方法的性能进行了评估和分析。

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