Comparative study of zigBee topologies for IoT‐based lighting automation

Varghese, Susan G; Kurian, Ciji Pearl; George, V I; John, Anupriya; Nayak, Varsha; Upadhyay, Anil Kr.

doi:10.1049/iet-wss.2018.5065

Cited by 31 publications

(19 citation statements)

References 14 publications

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“…Zigbee is IEEE 802.15.4 based wireless communication protocol that creates a personal area network (PAN) with low energy consumption [32]. Zigbee enhances the battery life of the end devices as it consumes low energy during data transmission.…”

Section: Zigbeementioning

confidence: 99%

Zigbee and Long-Range Architecture Based Monitoring System for Oil Pipeline Monitoring with the Internet of Things

et al. 2021

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Oil pipeline monitoring is having a significant role in minimizing the impact on the environment and humans during pipeline accidents. The real-time monitoring of oil pipelines empowers the authorities to have continuous supervision of the oil pipeline. The Internet of Things (IoT) provides an opportunity for realizing the real-time monitoring system by deploying the IoT-enabled end devices on the oil pipeline. In this study, we propose a hybrid architecture based on 2.4 GHz-based Zigbee and LoRa communication for oil pipeline monitoring. Moreover, customized end devices and LoRa based gateway are designed and implemented for sensing the critical parameters of an oil pipeline. Here, we have performed the simulation of ZigBee communication on the OPNET simulator for evaluating the parameters such as packet delivery ratio (PDR), retransmission attempts, throughput, medium access (MAC) queue size, and queue delay. Furthermore, the distinct evaluation metrics of LoRa such as bit rate, link budget, and receiver sensitivity are also included. Finally, a real-time experiment is implemented with customized end devices and a gateway for evaluating the proposed architecture. In the real-time experiment, the devices and gateway are logging the pressure sensory data into the Cayenne cloud.

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Section: Zigbeementioning

confidence: 99%

Zigbee and Long-Range Architecture Based Monitoring System for Oil Pipeline Monitoring with the Internet of Things

et al. 2021

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“…Authors in [32] provided a comparative analysis of ZigBee topologies for wireless lighting control system. These topologies are tested using two routing protocols: AODV and DSR.…”

Section: Related Workmentioning

confidence: 99%

On Modeling Optimizations and Enhancing Routing Protocols for Wireless Multihop Networks

Al-Zahrani

2020

IEEE Access

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The contribution of this paper is two fold. It first analyses the flooding strategies for the Wireless Multihop Networks (WMNs) then it enhances the reactive and proactive routing protocols. For analysis purpose, we select four widely used flooding techniques for routing: i. traditional flooding, ii. Time-To-Live based Expanding Ring Search (TTL-based ERS) flooding scheme, iii. TTL-based Scope Routing (SR) flooding and iv. Multi-Point Relays (MPR) flooding. These techniques play a vital role and act as a backbone for routing protocols. Therefore, we compare efficiency of these techniques for six widely used routing protocols: Ad-hoc On-demand Distance Vector (AODV), Destination Sequenced Distance Vector (DSDV), Dynamic Source Routing (DSR), DYnamic MANET On-demand (DYMO), Fish-eye Scope Routing (FSR) and Optimized Link State Routing (OLSR). DSDV uses traditional flooding, AODV, DSR and DYMO use TTL-based ERS flooding, FSR uses TTL-based SR flooding and OLSR uses MPR flooding. This paper also presents mathematical models for flooding techniques and studies the affects of these techniques on their respective protocols in terms of energy and time consumption. This is done to measure the cost incurred by the routing protocols in the form of routing overhead and latencies. A novel contribution of this work is the enhancement in search set values and intervals of routing algorithms to improve the efficiency of selected existing protocols. A detailed comparison analysis of selected protocols with their default and enhanced routing algorithms in NS-2 is also a part of this work.INDEX TERMS Time-To-Live, expanding ring, destination sequenced distance vector, DYnamic MANET On-demand, ad-hoc on-demand distance vector, wireless multihop networks.

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“…1 presents a schematic for this sub‐circuit. The authors employed an integrator time‐constant of τ = 10 ms for most testing, providing good sensitivity while minimising the effect of saturation [3]. Acquire eight analogue signals – The ZigBee S2 module provides designers with only four analogue‐to‐digital converters for analogue signal measurement.…”

Section: Hardwarementioning

confidence: 99%

Section: Hardwarementioning

confidence: 99%

ZigBee wireless smart plug network with RSSI multi‐lateration‐based proximity estimation and parallelised machine learning capabilities for demand response

Deese

Daum

2020

IET wirel. sens. syst.

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Comparative study of zigBee topologies for IoT‐based lighting automation

Cited by 31 publications

References 14 publications

Zigbee and Long-Range Architecture Based Monitoring System for Oil Pipeline Monitoring with the Internet of Things

Zigbee and Long-Range Architecture Based Monitoring System for Oil Pipeline Monitoring with the Internet of Things

On Modeling Optimizations and Enhancing Routing Protocols for Wireless Multihop Networks

ZigBee wireless smart plug network with RSSI multi‐lateration‐based proximity estimation and parallelised machine learning capabilities for demand response

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