Performance Evaluation of DigiMesh and ZigBee Wireless Mesh Networks

Khalifeh, Alar F.; Salah, Haya; Alouneh, Sahel; Assaf, Anwar Hamdan Al; Darabkh, Khalid A.

doi:10.1109/wispnet.2018.8538620

Cited by 19 publications

(8 citation statements)

References 9 publications

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“…The indoor facility is divided into several rooms and a hallway with usual building blocks and metallic doors, as depicted in Figure 4. Here, E5, E10, E15, E20, E25, E30, E35, E40, E45, E50 are the different positions of end nodes at 5,10,15,20,25,30,35,40,45, and 50 m, respectively, from the coordinator (C1). We should also note that the building has extensive Wi-Fi coverage along with a large amount of Bluetooth devices, affecting the Zigbee performances in comparison to the outdoor scenario.…”

Section: Methodsmentioning

confidence: 99%

“…However, this study did not consider the parameters, such as RSSI and energy consumption, and the study was not compared with the NLoS scenario with data encryption, which would have provided a better understanding of the QoS performances. Khalifeh et al conducted a study on the performance of two Zigbee-based mesh topologies, Zigbee mesh and Digi mesh, and concluded that Zigbee mesh performs better with time-critical applications due to lower latency and better link quality, but better throughput is achieved with Digi mesh [35]. This study is limited by the lack of different deployment scenarios, indoors and outdoors, where the performance might have varied significantly.…”

Section: Related Workmentioning

confidence: 99%

“…Moreover, some IoT applications in medical sector, and industry demand higher reliability where PDR is a very crucial parameter as it also signifies the reliability of the communication [51]. For the indoor scenario, the PDR is measured by placing the coordinator at C 1 and end nodes at E 25 , E 30 , E 35 , and E 40 , at a distance of 25, 30, 35, and 40 m from the coordinator, respectively, as presented in Figure 4. Moreover, 1000 data packets are sent from the coordinator to the end nodes at each location and from the number of received packets, PDR has been calculated.…”

Section: Pdr Performance At Different P Transmentioning

confidence: 99%

See 2 more Smart Citations

Comprehensive Performance Analysis of Zigbee Communication: An Experimental Approach with XBee S2C Module

Haque

Abdelgawad

Yelamarthi

2022

Sensors

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The recent development of wireless communications has prompted many diversified applications in both industrial and medical sectors. Zigbee is a short-range wireless communication standard that is based on IEEE 802.15.4 and is vastly used in both indoor and outdoor applications. Its performance depends on networking parameters, such as baud rates, transmission power, data encryption, hopping, deployment environment, and transmission distances. For optimized network deployment, an extensive performance analysis is necessary. This would facilitate a clear understanding of the trade-offs of the network performance metrics, such as the packet delivery ratio (PDR), power consumption, network life, link quality, latency, and throughput. This work presents an extensive performance analysis of both the encrypted and unencrypted Zigbee with the stated metrics in a real-world testbed, deployed in both indoor and outdoor scenarios. The major contributions of this work include (i) evaluating the most optimized transmission power level of Zigbee, considering packet delivery ratio and network lifetime; (ii) formulating an algorithm to find the network lifetime from the measured current consumption of packet transmission; and (iii) identifying and quantizing the trade-offs of the multi-hop communication and data encryption with latency, transmission range, and throughput.

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Section: Methodsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Pdr Performance At Different P Transmentioning

confidence: 99%

See 1 more Smart Citation

Comprehensive Performance Analysis of Zigbee Communication: An Experimental Approach with XBee S2C Module

Haque

Abdelgawad

Yelamarthi

2022

Sensors

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“…Unlike previous approaches, our network architecture utilizes both static and mobile terrestrial sensors, as well as aerial sensing vehicles, such that the three elements work collaboratively to provide comprehensive sensing and coverage of the area of interest, and efficient communications with the processing center. Differently from previous studies [6][7][8] mostly based on simulations, this work focuses on the actual implementation of such a network: in Section II we describe our monitoring architecture, while in Section III we conclude the discussion and outline future research directions.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Wireless Sensor Networks: A Prototype

Khalifeh

Bartolini

Silvestri

et al. 2019

Human-Computer Interaction – INTERACT 2019

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Wireless sensor networks (WSNs) are widely used to assist monitoring of an area of interest whenever manual monitoring by skilled personnel is not convenient if not prohibitive. In this paper, we propose a step ahead with respect to the current status of art, with the design and implementation of a novel networked architecture which integrates a set of static ground nodes, an Unmanned Ground Vehicle (UGV), and an Unmanned Aerial Vehicle (UAV) in a unique monitoring system. All these devices are equipped with sensors, a microcontroller and a wireless communication module such that they are capable of covering an AoI in the terrestrial and aerial dimension. In the proposed architecture, the mobile robot can inspect areas which have no fixed ground sensors, whereas sensors installed on the UAV cover the ground areas from above, ensuring wider coverage. Once data is collected by the ground sensors, it is sent via the UAV to a remote processing center, which elaborates the gathered data for decision making.

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“…Namely, WMSN can adapt to network changes and self-heal from failures. It can be implemented with various wireless technologies such as 802.11, 802.15, 802.16, and cellular technologies and need not be restricted to any one technology or protocol[15,16].…”

mentioning

confidence: 99%

Performance Extension of Wireless Mesh Sensor Network Communication Applied in Grape Farm

Boonsong,

Inthasuth,

Kannan

2023

Preprint

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The effectiveness of data communication links in a wireless communication network is an essential factor to be considered. Many applications in an agricultural farm need technology to facilitate significantly and increase productivity in planting. This paper presents the performance extension of wireless mesh sensor network communication in a grape farm. The performance of distance extension for data communication in an agriculture farm is a central topic to be designed. Therefore, the received signal strength indicator (RSSI) demonstrates the strength of the communication link in an outdoor condition. This article adopts a wireless module of XCTU, a free multi-platform application designed to enable developers to interact with Digi RF modules through a simple-to-use graphical interface embedded with a microcontroller device to process data transmission tests. The results found that the XBee-S2 and XBee-Pro tags have an RSSI tested for -71.6 dBm and -25.9 dBm, respectively. However, the Xbee-Pro still had a higher RSSI test compared to XBee-S2 by 63.83%. However, in the application, the entrepreneur needs to consider which technology is a match to be used in their business correctly.

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Performance Evaluation of DigiMesh and ZigBee Wireless Mesh Networks

Cited by 19 publications

References 9 publications

Comprehensive Performance Analysis of Zigbee Communication: An Experimental Approach with XBee S2C Module

Comprehensive Performance Analysis of Zigbee Communication: An Experimental Approach with XBee S2C Module

Hybrid Wireless Sensor Networks: A Prototype

Performance Extension of Wireless Mesh Sensor Network Communication Applied in Grape Farm

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