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Emerging Wireless Technologies in the Internet of Things: a Comparative Study

Mahmoud Elkhodr, Seyed Shahrestani, Hon Cheung

arXiv:1611.00861v1cs.NI

TL;DR

IoT applications need wireless links that balance low power with range and other requirements, including for remote deployments. This paper compares IoT wireless technologies across their capabilities and behaviors; it reports low-power characteristics across several technologies and identifies a need for further evaluation of 802.11ah and LoRa.

  • Problem

    IoT applications vary in their need for low power, cost, security, data rates, and range, while some remote and smart-city uses exceed short-range coverage.

    Source: §2 · p. 3, §2.3 · p. 7

  • Method

    The paper compares ZigBee, 6LoWPAN, BLE, LoRa, and Wi-Fi variants, evaluating range, rate, network size, RF channels, bandwidth, and power consumption.

    Source: §1 · p. 2, §4 · p. 13

  • Results

    Low-power characteristics span 802.15.4-based technologies, BLE, LoRa, and 802.11ah; a cited comparison reports better 802.11ah throughput than 802.15.4.

    Source: §3.3 · p. 13

  • Takeaways & Limitations

    Low-power IoT deployments may combine multiple wireless technologies to address differing connectivity needs.

    Source: §1 · p. 2, §2 · p. 3, §2.3 · p. 7

    The authors note that 802.11ah needs more simulations and experimental studies, and LoRa's performance and scalability in large, dynamic, heterogeneous networks remain unexplored.

    Source: §3.3 · p. 13

Abstract

from arXiv · show

The Internet of Things (IoT) incorporates multiple long-range, short-range, and personal area wireless networks and technologies into the designs of IoT applications. This enables numerous business opportunities in fields as diverse as e-health, smart cities, smart homes, among many others. This research analyses some of the major evolving and enabling wireless technologies in the IoT. Particularly, it focuses on ZigBee, 6LoWPAN, Bluetooth Low Energy, LoRa, and the different versions of Wi-Fi including the recent IEEE 802.11ah protocol. The studies evaluate the capabilities and behaviours of these technologies regarding various metrics including the data range and rate, network size, RF Channels and Bandwidth, and power consumption. It is concluded that there is a need to develop a multifaceted technology approach to enable interoperable and secure communications in the IoT.

1. INTRODUCTION

IoT growth depends on wireless technologies connecting heterogeneous sensors and actuators, while applications face varied connectivity needs. This paper compares evolving wireless options for IoT, including low-power and long-range technologies.

1. INTRODUCTION

  • The introduction links IoT growth to wireless technologies connecting sensors and actuators across a heterogeneous network.It describes connected devices attached to everyday objects and notes that wireless technologies support IoT communications.Source: §1 · p. 1
  • The introduction cites rising mobile data traffic, from 2.5 Exabyte per month in 2014 to an estimated 24.3 Exabyte per month in 2019.The passage attributes this rise partly to advances in wireless and mobile technologies.Source: §1 · p. 1
  • The paper compares IEEE 802.15.4 technologies, Bluetooth Low Energy, and Wi-Fi, and explores LoRa and IEEE 802.11ah.It frames LoRaWAN and IEEE 802.11ah as low-power, low-cost long-range WAN technologies.Source: §1 · p. 2

2. WIRELESS LOW-POWER TECHNOLOGIES FOR THE IOT

IoT connectivity must balance low power and cost with security, range, data rates, and other requirements. The section compares wireless options from indoor Wi-Fi and personal-area links to LPWANs for longer-distance communication.

2.1 Analysis of IEEE 802.11 WLANs for IoT Communications

  • Wi-Fi is widely adopted for indoor broadband, but its higher output power can make it unsuitable where IoT applications require low power.The passage gives IEEE 802.11n a data rate of 54 Mbit/s to 600 Mbit/s and IEEE 802.11ac up to 433.33 Mbps.Source: §2 · p. 3, §2.1 · p. 4

2.2 IEEE 802.11ah, ZigBee IP and Bluetooth Low Energy

  • IEEE 802.11ah targets energy-efficient service for thousands of devices, with outdoor coverage up to 1 km and up to 8191 devices per access point.It operates in unlicensed sub-1GHz bands and uses a one-hop topology with power-saving mechanisms.Source: §2.2 · p. 5
  • BLE targets low-power, low-cost devices and smartphone gateway links, while ZigBee IP combines 6LoWPAN with IPv6-based end-to-end networking.The passage gives BLE an over-the-air rate of 1 Mbps and throughput around 0.27 Mbps; ZigBee's data rate ranges from 20 to 250 kbps.Source: §2.2 · p. 6

2.3 LoRaWAN

  • LPWAN addresses the coverage limits of low-power short-range technologies; unlike mesh extensions, it avoids forwarding and routing overheads.The section identifies remote and smart-city deployments, as well as battery-powered industrial sensors, as settings that need longer-distance links.Source: §2.3 · p. 7
  • A LoRaWAN typically uses a star topology, with gateways relaying messages between end devices and a LoRa server; its data rates range from 0.3 kbps to 50 kbps.Adaptive data rate lets the server manage node data rates and RF output to optimize battery consumption for application requirements.Source: §2.3 · p. 7
  • LoRaWAN's device classes trade energy use against receive availability: Class A is most energy efficient, Class B adds scheduled receive windows, and Class C listens except while transmitting.Class A devices receive server communications only during scheduled uplinks; Class C is the least energy efficient class.Source: §2.3 · p. 8

3. ON THE ADOPTION OF WIRELESS TECHNOLOGIES IN THE IOT

IoT applications use diverse wireless technologies with different strengths, so no single option suits every deployment. The comparison highlights trade-offs in range, bandwidth, network size, and energy use.

3. ON THE ADOPTION OF WIRELESS TECHNOLOGIES IN THE IOT

  • The review covers IEEE 802.15.4 technologies, BLE, and IEEE 802.11ah as IoT wireless options targeting low power, lower computation, reduced costs, and wider coverage; 802.11ah operates in the 900 MHz band and extends range over traditional Wi-Fi.IoT applications use diverse devices and communication technologies, and a technology suitable for one application may not suit many others.Source: §3 · p. 8

3.1 WLANs: Capacity vs. Io

  • ZigBee coverage can be extended using repeaters and/or high-density mesh nodes, while IEEE 802.11ah outperforms other 802.11 variants with approximately 1 km coverage; it is also under development with meshing in mind.LoRa may offer coverage similar to cellular networks, but using it involves a service provider, which may raise the associated cost.Source: §3.1 · p. 10
  • Technology choice depends on application needs: ZigBee suits larger node counts when meshing is available, while 802.11ah suits fewer nodes with minimal traffic.The paper notes that 802.11ah offers wider coverage without meshing and is intended to be backward compatible with Wi-Fi variants.Source: §3.1 · p. 10

3.2 Network Size Capabilities for IoT Networks

  • ZigBee supports up to 65,000 nodes, BLE supports eight devices per network, and the baseline Wi-Fi association limit is 2,007 stations.The 802.11ah draft extends the AID range to 0–8191 and increases the maximum TIM bitmap length to 8192 bits.Source: §3.2 · pp. 10–11

3.3 Transmission Power Evaluation

  • 802.15.4 uses less energy than 802.11ah in dense, non-saturated networks, while the comparison reverses for small, low-traffic networks.The cited study also found 802.11ah had better throughput than 802.15.4; the standard was still under development.Source: §3.3 · p. 13

4. CONCLUSION

The paper reviews low-power wireless technologies for IoT across multiple capability metrics and identifies challenges to their integration. It concludes that secure, interoperable communications require attention to management, security, and privacy.

4. CONCLUSION

  • The review compares ZigBee, 6LoWPAN, BLE, LoRa, and Wi-Fi, including IEEE 802.11ah, across range, rate, network size, RF channels, bandwidth, power, and the IoT ecosystem.It highlights their distinct characteristics and issues in incorporating them into IoT.Source: §4 · p. 13
  • Integrating low-power, low-cost technologies into IoT requires new management, security, and privacy-preserving methods or different approaches to existing protections.The paper notes the challenge of managing many connected things and the traffic they generate across heterogeneous networks.Source: §4 · p. 13
  • Supporting secure and interoperable communications across the technologies remains a challenge, with the goal of a coexisting ecosystem rather than isolated networks.Source: §4 · p. 14

AUTHORS

The author biographies describe academic positions and research interests in computing, networking, security, and related fields.

AUTHORS

  • Mahmoud Elkhodr is affiliated with Western Sydney University's School of Computing, Engineering and Mathematics, and his interests include IoT, e-health, human-computer interactions, security, and privacy.He received the IPRS and APA in 2012–2015 and a High Achieving Graduate Award in 2011.Source: AUTHORS · p. 15
  • Seyed Shahrestani is a Senior Lecturer at Western Sydney University and heads its Networking, Security and Cloud Research group.His interests include computer networking, networked-systems management and security, complex systems, AI applications, and health ICT.Source: AUTHORS · p. 16
  • Hon Cheung has been a senior lecturer in Computing at Western Sydney University since 2000, with research experience spanning AI, signal and image processing, network security, and communications.Source: AUTHORS · p. 16

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