Efficient Strategies for Signal Aggregation in Low-Power Wireless Sensor Networks With Discrete Transmission Ranges

被引：3

作者：

Manuel, Ebin M. M. ^{[1
]}

Pankajakshan, Vinod ^{[1
]}

Mohan, Manil T. T. ^{[2
]}

机构：

[1] Indian Inst Technol Roorkee, Dept Elect, Roorkee 247664, India

[2] Indian Inst Technol Roorkee, Dept Math, Roorkee 247664, India

来源：

IEEE SENSORS LETTERS | 2023年 / 7卷 / 03期

关键词：

Sensors; Wireless sensor networks; Partitioning algorithms; Overlay networks; Data aggregation; Wireless networks; Time measurement; Sensor networks; data aggregation; discrete transmission ranges; mathematical framework; wireless sensor networks (WSNs); CONNECTED DOMINATING SET;

D O I：

10.1109/LSENS.2023.3250432

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Sensors with different transmission ranges are preferred for future-ready low-power wireless sensor networks because of their functional advantages. However, different transmission ranges introduce connectivity constraints that affect the signal aggregation process. In this letter, we address the sensor signal aggregation problem in such networks and propose solutions. We introduce a mathematical framework that captures the connectivity restrictions and propose an integer linear program for small-scale networks and an approximation technique for large-scale networks. The performance of the proposed method is evaluated under compression techniques based on compressed sensing.

引用

页数：4

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