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Wireless Sensors for IoT

2022-08-23
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Illustration: © IoT For All






The Internet of Things (IoT) is going to change our world. It is estimated that there will be nearly 22 billion IoT devices by 2025. Extending internet connectivity to everyday objects will transform industries and create tremendous cost savings. But how do non-internet-enabled devices gain connectivity capabilities through wireless sensors?

With wireless sensors, IoT is possible. Individuals and organizations can use wireless sensors to enable many different kinds of smart applications. From interconnected homes to smart cities, wireless sensors create the infrastructure upon which IoT comes alive. Understanding how wireless sensor technology works is crucial for anyone who intends to deploy IoT applications in the future. Let’s look at how wireless sensors work, emerging wireless standards for sensors, and what role they will play in the future.




What is a Wireless Sensor?

A wireless sensor is a device that can gather sensory information and detect changes in local environments. Examples of wireless sensors include proximity sensors, movement sensors, temperature sensors, and liquid sensors. Wireless sensors don’t perform heavy data processing locally, they consume very little power, and can last years on a single battery if an optimal wireless technology is used. Additionally, sensors are easily supported on low-speed networks as they transmit very light data loads.

Wireless sensors can be grouped to monitor environmental conditions throughout a region. These wireless sensor networks consist of many spatially-dispersed sensors that communicate through wireless connections. Sensors in a common network share data either through nodes that consolidate information at a gateway or where each sensor connects directly to the gateway, assuming it can achieve the necessary range. Gateways act as bridges that connect local sensors to the internet, functioning both as routers and wireless access points.

Types of Wireless Network Topologies

Wireless sensor networks are typically arranged in a few different topologies. The most commonly used to support wireless sensor technology are the star and mesh topologies.

#1: Star Topologies

Star topologies are those in which every node is directly connected to a central hub or gateway. Under this arrangement, nodes send information to a single gateway, which then relays messages to the intended destination. Gateways can share information with many nodes simultaneously, which makes it much easier to scale networks.

Because nodes aren’t exchanging data directly between them, many fewer point-to-point links are required. Consequently, star topologies are simple to install, configure, and manage as new nodes only need to be connected to one central point. Overall, star topologies are a cost-effective solution for enabling data transfer between numerous wireless sensors.

On the downside, star topologies rely completely on the wireless link between the sensor and the central hub. The range can be an issue since there is no means for an intermediate “hop” or repeater of the signal. Also, scaling depends on the gateway’s capacity to support additional nodes.

#2: Mesh Topologies

Rather than relying only on a central hub, mesh topologies put data transfer responsibility on nodes within the network. In mesh topologies, nodes function as routers that can pass information along to other nodes. As a result, connectivity issues at certain junctures pose less of a threat as data can travel along many paths to reach the gateway.

There are a number of significant problems with mesh networks, however. Mesh networks require much more complicated (and often overly complicated) protocols to form the network and relay data at run time. Another major disadvantage is that mesh networks consume much more power than star topologies as some nodes must remain on to relay information. Oftentimes, mesh networks are used as a quick fix for the lack of range, making it harder to justify the costly up-front investment.

Traditional Wireless Sensor Protocols

There are many wireless protocols that enable connectivity between sensors:

#1: Wi-Fi

Wi-Fi (“wireless fidelity”) is a widespread and versatile Local Area Network technology that sends information over two primary frequencies, 2.4GHz and 5GHz. Wi-Fi networks can transfer large data packets at relatively fast speeds over medium ranges. The primary advantage of Wi-Fi is its availability in most homes and businesses, thus making it a highly convenient existing network.

On the downside, Wi-Fi signals have limited ability to penetrate through walls, and connected devices consume a lot of power compared to alternative wireless sensor protocols because of the extended data overhead of the protocol. Also, the management of the Wi-Fi keys is in the local router which means that a change in a key can easily break sensors that were previously connected, and there are no simple means to update these keys. Devices such as TVs, laptops, smartphones, etc. have displays that allow the user to easily change the key, but most simple sensors do not have this type of interface and require a provisioning process to modify the key. This makes long-term management and reliability a problem for Wi-Fi sensors.

Most IoT sensors don’t typically need the bandwidth available with Wi-Fi. As a result, it tends to be less optimal for simple sensor devices. Finally, because there are many high-bandwidth devices competing for the same RF channels to stream video, audio, and other complex data transfers over Wi-Fi, there can be a lot of interference from these devices which can block other devices that only need to send simple messages.

#2: BLE

Bluetooth Low Energy, or BLE, is a low-power protocol that is designed to support periodic low data rate wireless communication over short ranges. Not to be confused with classic Bluetooth technology, which is great for streaming audio to speakers or headsets, BLE is intended for wireless sensors that transmit small packets of information. The technology is a cost-effective alternative to Wi-Fi that doesn’t consume nearly as much power from devices. BLE does, however, also operate at 2.4GHz, which means the protocol is limited in terms of its range and ability to penetrate through walls, in addition to facing interference from other 2.4GHz devices.

For over a decade, Zigbee has served as a low-power alternative to Bluetooth and Wi-Fi that is best suited for wireless sensors that don’t require much bandwidth. The technology is built around the IEEE 802.15.4 standard and relies on mesh networks to transmit data. As a result, Zigbee is often used to enable smart homes consisting of many low-power devices. Compared to Z-Wave, Zigbee can support a huge number of nodes — 65,000+ in a single network. One disadvantage of Zigbee is that some nodes need to remain “on” to relay information as discussed in the wireless topologies section earlier. Additionally, there are increased infrastructure costs due to the need for routers to extend the range. Generally speaking, Zigbee, DigiMesh, and other mesh networks can be thought of as expensive “band-aids” for poor RF performance, interference avoidance, and range.

#3: Z-Wave

Z-Wave is a wireless protocol designed specifically for smart home applications. Developed by Zensys, the technology is an alternative to Zigbee that runs on the “less noisy” 900MHz frequency band, thereby enabling it to avoid major interference issues. However, Z-Wave mesh networks can only support a limited number of wireless sensors and are subject to the limitations of mesh networks described earlier. Also, users need to sign a licensing agreement with Silicon Laboratories before they can use the technology which adds to the expense. Ultimately, the primary reason to build Z-Wave sensors is for compatibility with existing Z-Wave systems. Z-Wave is used extensively in the home-security industry as it allows for bi-directional communications to endpoints through an encrypted channel. Traditional home security protocols are one-way only and unencrypted. Therefore, they don’t work well for applications such as door locks.

LPWAN Standards for Wireless Sensors

The movement to connect simple devices, like sensors, to the Internet and the vision to connect billions of everyday objects around the world, has led to a new class of wireless standards that are classified as low-power wide-area networks, or LPWANs. LPWANs are a specific class of radio technologies that are used to send small amounts of data over very long distances.

LPWAN networks consume much less power from connected wireless sensors and are less costly to access. With LPWANs, end users trade bandwidth for increased range, which is appropriate for those deploying simple wireless sensors. LPWAN solutions are typically more cost-effective, enabling companies to realize positive ROIs for their IoT applications.

LoRa® (an abbreviation for “long range”) is a popular wireless standard with a higher bandwidth capacity than Sigfox. LoRa uses a proprietary modulation scheme called chirp spread spectrum, which enables excellent link margins and can reach signals that are below the RF noise floor. Consequently, LoRa sensors can transmit larger data packets through noisy environments over long distances. LoRa networks can use either public LoRaWAN base stations or private gateways which makes it particularly useful for wireless sensors in more remote areas where public access may not be available.

LoRaWAN gateways can be connected to a cloud-based LoRaWAN network server. From there, the data is pushed to the application.

Benefits of Wireless Sensor Technology & IoT

There are several benefits of wireless sensor technology for IoT deployments:

  • Improving service company responsiveness and effectiveness: Plumbing and insurance companies can benefit from wireless water leak sensors. Plumbing service providers could install these sensors at condo complexes and apartment buildings so that they are automatically warned when leaks occur in any units. Insurance firms could also deploy leak sensors in homes to minimize any damages that may occur from accidental flooding.
  • Supporting patient health care via real-time monitoring: At senior care facilities, wireless push buttons are particularly important as they can be configured to act like mobile PERS devices that will warn staff when help is needed. Just like in smart homes, these facilities can also use wireless door or window sensors to detect when residents are trying to leave their rooms unattended.
  • Enabling better and smarter product management: Grocery stores and retailers can protect assets with different types of wireless sensors located throughout their premises. With wireless air temperature sensors, facilities managers can track temperature levels in refrigeration units and make sure that perishables are safe.
  • Improving security and safety in industrial settings: At car dealerships, fleet managers can install wireless acceleration-based movement sensors in vehicles so that they can receive notifications when cars move at night, a sign of potential theft. In warehouses, facility supervisors can calculate heat indexes with wireless air sensors and make sure they maintain healthy work environments for employees.
  • Preserving and maintaining fragile artwork: In museums and art galleries, preservation specialists can place wireless humidity sensors in rooms to monitor and adjust air conditions to protect artifacts or artwork. Optical sensors could also be used to detect lighting levels and ensure that guests have the best possible viewing experiences.
  • Protecting and fixing local infrastructure quickly: Utility companies can install high-temperature probes on utility poles to detect transformer failures. With tilt sensors, they could also configure sensors to send alerts to maintenance personnel when poles are leaning or have been struck by vehicles.

Improving Daily Life

These are just a few examples of how wireless sensors will enable IoT applications in our daily lives. Over time, we will continue to see innovation across different industries and other useful applications for the technology.


参考译文
物联网无线传感器
物联网(IoT)将改变我们的世界。据估计,到2025年,物联网设备数量将接近220亿部。将互联网连接扩展到日常用品将改变行业,并节省大量成本。但是,非互联网设备如何通过无线传感器获得连接能力呢?有了无线传感器,物联网成为可能。个人和组织可以使用无线传感器来实现许多不同种类的智能应用程序。从互联家庭到智能城市,无线传感器创造了物联网赖以生存的基础设施。了解无线传感器技术的工作原理对于任何打算在未来部署物联网应用的人都是至关重要的。让我们看看无线传感器是如何工作的,新兴的传感器无线标准,以及它们在未来将扮演什么角色。无线传感器是一种可以收集感官信息并检测局部环境变化的设备。无线传感器的例子包括接近传感器、运动传感器、温度传感器和液体传感器。无线传感器不需要在本地进行繁重的数据处理,它们消耗的电力非常少,如果使用最佳的无线技术,单个电池可以使用数年。此外,传感器很容易在低速网络上支持,因为它们传输非常轻的数据负载。无线传感器可以分组监测整个地区的环境状况。这些无线传感器网络由许多空间分散的传感器组成,它们通过无线连接进行通信。在一个公共网络中,传感器可以通过节点共享数据,节点可以整合网关的信息,也可以通过每个传感器直接连接到网关(假设它可以达到必要的范围)。网关充当连接本地传感器到互联网的桥梁,既充当路由器,又充当无线接入点。无线传感器网络通常以几种不同的拓扑结构排列。最常用来支持无线传感器技术的是星形和网状拓扑结构。星型拓扑是指每个节点都直接连接到中心集线器或网关的拓扑。在这种安排下,节点将信息发送到单个网关,然后该网关将消息转发到预期的目的地。网关可以同时与多个节点共享信息,这使得扩展网络更加容易。因为节点之间不直接交换数据,所以需要的点对点链接要少得多。因此,星型拓扑很容易安装、配置和管理,因为新节点只需要连接到一个中心点。总的来说,星型拓扑是一种经济有效的解决方案,可以在众多无线传感器之间传输数据。星型拓扑结构的缺点是完全依赖于传感器和中心枢纽之间的无线连接。范围可能是一个问题,因为没有方法的中间“跳”或中继的信号。另外,可伸缩性取决于网关支持额外节点的能力。网状拓扑并不仅仅依赖于中心集线器,而是将数据传输责任放在网络中的节点上。在网状拓扑中,节点充当路由器的角色,可以将信息传递给其他节点。因此,某些连接点的连接问题造成的威胁较小,因为数据可以沿着许多路径到达网关。然而,网状网络存在许多重大问题。网状网络需要更复杂(通常过于复杂)的协议来形成网络和在运行时中继数据。另一个主要缺点是网状网络比星型拓扑消耗更多的能量,因为一些节点必须保持在线以中继信息。通常情况下,网状网络被用作覆盖范围不足的快速解决方案,这使得昂贵的前期投资变得更加困难。有许多无线协议可以实现传感器之间的连接: Wi-Fi(“无线保真度”)是一种广泛和通用的局域网技术,它通过两个主频率发送信息,2.4GHz和5GHz。Wi-Fi网络可以在中等范围内以相对较快的速度传输大数据包。Wi-Fi的主要优点是在大多数家庭和企业都可以使用,因此它是一个非常方便的现有网络。缺点是,Wi-Fi信号穿透墙壁的能力有限,由于协议的扩展数据开销,与替代无线传感器协议相比,连接设备消耗大量电能。此外,Wi-Fi密钥的管理在本地路由器上,这意味着密钥的变化很容易破坏之前连接的传感器,没有简单的方法来更新这些密钥。电视、笔记本电脑、智能手机等设备都有允许用户轻松更改密钥的显示器,但大多数简单的传感器没有这种类型的接口,需要一个配置过程来修改密钥。这使得Wi-Fi传感器的长期管理和可靠性成为一个问题。大多数物联网传感器通常不需要Wi-Fi提供的带宽。因此,对于简单的传感器设备来说,它往往不是最优的。最后,因为有许多高带宽设备竞争相同的射频信道,以流媒体视频、音频和其他复杂的数据传输Wi-Fi,可能会有很多来自这些设备的干扰,可以阻止其他只需要发送简单消息的设备。蓝牙低能耗协议(简称BLE)是一种低功耗协议,旨在支持短范围内周期性的低数据速率无线通信。不要与经典的蓝牙技术相混淆,后者非常适合将音频流传输到扬声器或耳机,BLE是用于传输小数据包信息的无线传感器。该技术是Wi-Fi的一种性价比高的替代方案,它几乎不消耗设备的能量。然而,BLE也在2.4GHz频段运行,这意味着该协议在范围和穿透墙壁的能力方面受到限制,此外还面临其他2.4GHz设备的干扰。十多年来,Zigbee一直是蓝牙和Wi-Fi的低功耗替代品,最适合不需要太多带宽的无线传感器。该技术基于IEEE 802.15.4标准,依靠网状网络传输数据。因此,Zigbee经常被用于由许多低功耗设备组成的智能家庭。与Z-Wave相比,Zigbee可以支持大量节点——在单个网络中超过65,000个节点。Zigbee的一个缺点是,一些节点需要保持“开着”才能像前面无线拓扑部分中讨论的那样中继信息。此外,由于需要路由器来扩大范围,基础设施成本也增加了。一般来说,Zigbee、DigiMesh和其他网状网络可以被认为是昂贵的“创可贴”,用于较差的射频性能、干扰规避和范围。 Z-Wave是专门为智能家居应用而设计的无线协议。该技术由Zensys公司开发,是Zigbee的替代方案,运行在“噪音更少”的900MHz频段,因此可以避免重大干扰问题。然而,Z-Wave网状网络只能支持有限数量的无线传感器,并且受到前面所述网状网络的限制。此外,用户在使用该技术之前需要与硅实验室签署许可协议,这增加了费用。最终,制造Z-Wave传感器的主要原因是为了兼容现有的Z-Wave系统。Z-Wave广泛应用于家庭安全行业,因为它允许通过加密信道向端点进行双向通信。传统的家庭安全协议是单向的,不加密的。因此,它们不适用于诸如门锁之类的应用程序。将传感器等简单设备连接到互联网的运动,以及连接全球数十亿日常物体的愿景,催生了一种新的无线标准,被称为低功率广域网络(lpwan)。lpwan是一种特殊的无线电技术,用于在很长的距离上发送少量数据。LPWAN网络从连接的无线传感器消耗的电力更少,访问成本也更低。使用lpwan,终端用户可以用带宽换取更大的范围,这适用于部署简单无线传感器的用户。LPWAN解决方案通常更具成本效益,使公司能够为其物联网应用实现积极的roi。LoRa®(“long range”的缩写)是一种流行的无线标准,比Sigfox具有更高的带宽容量。LoRa使用了一种被称为啁啾扩频的专有调制方案,可以实现卓越的链路边缘,并可以到达低于射频噪声下限的信号。因此,LoRa传感器可以通过噪声环境长距离传输更大的数据包。LoRa网络可以使用公共LoRaWAN基站或私有网关,这使得它特别适用于较偏远地区的无线传感器,这些地区可能无法获得公共访问。LoRaWAN网关可以连接到基于云的LoRaWAN网络服务器。从那里,数据被推送到应用程序。无线传感器技术用于物联网部署有几个好处:这些只是无线传感器如何使物联网应用于我们的日常生活中的几个例子。随着时间的推移,我们将继续看到不同行业的创新和该技术的其他有用应用。
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