A Sub-1 GHz Wireless Sensor Network Concentrator Using Multicollectors with Load Balancing for Improved Capacity and Performance

Ricardo Arjona, Craig Lee, M. Razo, M. Tacca, A. Fumagalli, Kumaran Vijayasankar
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Abstract

The exponential growth of IoT end devices creates the necessity for cost-effective solutions to further increase the capacity of IEEE802.15.4g-based wireless sensor networks (WSNs). For this reason, the authors present a wireless sensor network concentrator (WSNC) that integrates multiple collocated collectors, each of them hosting an independent WSN on a unique frequency channel. A load balancing algorithm is implemented at the WSNC to uniformly distribute the number of aggregated sensor nodes across the available collectors. The WSNC is implemented using a BeagleBone board acting as the Network Concentrator (NC) whereas collectors and sensor nodes realizing the WSNs are built using the TI CC13X0 LaunchPads. The system is assessed using a testbed consisting of one NC with up to four collocated collectors and fifty sensor nodes. The performance evaluation is carried out under race conditions in the WSNs to emulate high dense networks with different network sizes and channel gaps. The experimental results show that the multicollector system with load balancing proportionally scales the capacity of the network, increases the packet delivery ratio, and reduces the energy consumption of the IoT end devices.
一种采用负载平衡的多收集器的sub - 1ghz无线传感器网络集中器,以提高容量和性能
物联网终端设备的指数级增长创造了经济高效的解决方案的必要性,以进一步增加基于ieee802.15.4 g的无线传感器网络(wsn)的容量。为此,作者提出了一种无线传感器网络集中器(WSNC),它集成了多个并置采集器,每个采集器在一个唯一的频率通道上承载一个独立的WSN。在WSNC上实现了负载平衡算法,以便在可用的收集器上统一分配聚合的传感器节点的数量。WSNC使用BeagleBone板作为网络集中器(NC)来实现,而实现wsn的采集器和传感器节点则使用TI CC13X0 LaunchPads来构建。该系统使用一个由一个NC组成的试验台进行评估,该试验台有多达四个配置的收集器和50个传感器节点。在竞争条件下对无线传感器网络进行性能评估,以模拟具有不同网络大小和信道间隙的高密度网络。实验结果表明,采用负载均衡的多采集器系统按比例扩展了网络容量,提高了分组分发率,降低了物联网终端设备的能耗。
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