Resilient Edge: Building an adaptive and resilient multi-communication network for IoT Edge using LPWAN and WiFi

TY - JOUR

T1 - Resilient Edge

T2 - Building an adaptive and resilient multi-communication network for IoT Edge using LPWAN and WiFi

AU - Kumar, Vijay

AU - Yadav, Poonam

AU - Soares Indrusiak, Leandro

N1 - This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details

PY - 2023/9/1

Y1 - 2023/9/1

N2 - Edge computing has gained attention in recent years due to the adoption of many Internet of Things (IoT) applications in domestic, industrial and wild settings. The resiliency and reliability requirements of these applications vary from non-critical (best delivery efforts) to safety-critical with time-bounded guarantees. The network connectivity of IoT edge devices remains the central critical component that needs to meet the time-bounded Quality of Service (QoS) and fault-tolerance guarantees of the applications. Therefore, in this work, we systematically investigate how to meet IoT applications mixed-criticality QoS requirements in multi-communication networks. We (i) present the network resiliency requirements of IoT applications by defining a system model (ii) analyse and evaluate the bandwidth, latency, throughput, maximum packet size of many state-of-the-art LPWAN technologies, such as Sigfox, LoRa, and LTE (CAT-M1/NB-IoT) and Wi-Fi, (iii) implement and evaluate an adaptive system Resilient Edge and Criticality-Aware Best Fit (CABF) resource allocation algorithm to meet the application resiliency requirements using Raspberry Pi 4 and Pycom FiPy development board having five multi-communication networks. We present our findings on how to achieve 100% of the best-effort high criticality level message delivery using multi-communication networks.

AB - Edge computing has gained attention in recent years due to the adoption of many Internet of Things (IoT) applications in domestic, industrial and wild settings. The resiliency and reliability requirements of these applications vary from non-critical (best delivery efforts) to safety-critical with time-bounded guarantees. The network connectivity of IoT edge devices remains the central critical component that needs to meet the time-bounded Quality of Service (QoS) and fault-tolerance guarantees of the applications. Therefore, in this work, we systematically investigate how to meet IoT applications mixed-criticality QoS requirements in multi-communication networks. We (i) present the network resiliency requirements of IoT applications by defining a system model (ii) analyse and evaluate the bandwidth, latency, throughput, maximum packet size of many state-of-the-art LPWAN technologies, such as Sigfox, LoRa, and LTE (CAT-M1/NB-IoT) and Wi-Fi, (iii) implement and evaluate an adaptive system Resilient Edge and Criticality-Aware Best Fit (CABF) resource allocation algorithm to meet the application resiliency requirements using Raspberry Pi 4 and Pycom FiPy development board having five multi-communication networks. We present our findings on how to achieve 100% of the best-effort high criticality level message delivery using multi-communication networks.

KW - Internet of Things (IoT)

KW - low power wide area networks

KW - quality of service (QoS)

KW - resiliency

KW - WiFi

KW - wireless networks

UR - http://www.scopus.com/inward/record.url?scp=85147268884&partnerID=8YFLogxK

U2 - 10.1109/TNSM.2022.3228291

DO - 10.1109/TNSM.2022.3228291

M3 - Article

AN - SCOPUS:85147268884

SN - 1932-4537

VL - 20

SP - 3055

EP - 3071

JO - IEEE Transactions on Network and Service Management

JF - IEEE Transactions on Network and Service Management

IS - 3

ER -