Narrow-band channel spacing frequencies metric in one-hop wireless mesh networks

2019

SN Appl. Sci.

Self Cite

This study presents a new practical measurement method for analyzing narrowband wireless mesh networks (NWMNs) application performance. It investigates a scenario for packet transmissions in NWMNs, leveraging wireless interconnection between two devices. It analyzes the effect of message size and channel spacing on the resulting bitrate, forwarding time and modulation rate through experimental results. We transmit a single packet for one hop, exploiting a versatile radio modem with very-high-frequency radios operating in the bridging or routing modes. The measurement results obtained, with the mentioned critical operating parameters, provide a quicker and clearer idea as well as conclusive evidence for overall network performance.

Section: Comparison With Other Methodsmentioning

confidence: 99%

“…Narrowband wireless mesh networks (NWMNs) [1] are emerging technologies that provide connectivity to control, manage, supervise, and offer more capacity to devices in critical applications. In mesh networks, any node-connect haphazardly and spontaneously to each other.…”

Section: Introductionmentioning

confidence: 99%

An effective practical method for narrowband wireless mesh networks performance

Rattal

2019

SN Appl. Sci.

Self Cite

“…This approach was based on obtaining RTT measurements with a modified probe length. In general, the performance of a medical network operating on an E2E PP cycle is based on several basic communication parameters, such as the modulation style, RF configuration headers, operating principle, modulation rate, forward error correction, acknowledgment [21], subcarrier spacing (SCS), information or message size, data transmission protocols, multiple storages, forward access points, total number of nodes, average hops per path to the remote, interface speed, and processing time. In addition, a variable packet size probing strategy was proposed [22], in which the RTT was used to measure the capacity, from the sending node to each hop along the way, depending on the probe packet sizes.…”

Section: Introductionmentioning

confidence: 99%

Protocol Wireless Medical Sensor Networks in IoT for the Efficiency of Healthcare

Ghoumid

IEEE Internet Things J.

et al. 2022

In this study, a narrowband (NB) internet of things (IoT) medical device (MD) wireless communication system was established, in which a multi-hop source to the MD network shared the downlink and uplink resources to probe and control the MDs of hospital patients. A multicast data packet was distributed over the multi-hop MD networks, and a random linear network coding approach was applied in the source instead of the intermediate nodes. We evaluated the MD probe cycle between a master station and remote terminal units, which were connected with several critical devices in a medical room. Furthermore, an accelerated end-to-end (E2E) probing protocol was established in the wireless mesh network to minimize the probing cycle of the health devices. In particular, a faster protocol was developed to address the probe and control subproblem. The proposed approach could assist in realizing the accelerated E2E probing for NB-IoT MDs, reducing the number of retransmissions, recovering lost packets, and providing a prompt overview of the medical network performance, based on several basic parameters. Furthermore, in a comparative study of the contemporary probing cycle techniques, the proposed protocol notably outperformed several widely used protocols, with the improvements typically exceeding 71% and 60%, respectively.

“…Cooperatively considering V2V and V2I communications can reduce the amount of data uploaded and downloaded through multi-hop communication between vehicles [9,10]. In this paper, we investigate the one-hop V2I communication as with many related works which are devoted to solving the problems in one-hop communication scenario [11,12,13].…”

Section: Introductionmentioning

confidence: 99%

Velocity-Adaptive V2I Fair-Access Scheme Based on IEEE 802.11 DCF for Platooning Vehicles

Xia

Fan

et al. 2018

Sensors

Platooning strategy is an important component of autonomous driving technology. Autonomous vehicles in platoons are often equipped with a variety of on-board sensors to detect the surrounding environment. The abundant data collected by autonomous vehicles in platoons can be transmitted to the infrastructure through vehicle-to-infrastructure (V2I) communications using the IEEE 802.11 distributed coordination function (DCF) mechanism and then uploaded to the cloud platform through the Internet. The cloud platform extracts useful information and then sends it back to the autonomous vehicles respectively. In this way, autonomous vehicles in platoons can detect emergency conditions and make a decision in time. The characteristics of platoons would cause a fair-access problem in the V2I communications, i.e., vehicles in the platoons moving on different lanes with different velocities would have different resident time within the infrastructure’s coverage and thus successfully send different amounts of data to the infrastructure. In this case, the vehicles with different velocities will receive different amounts of useful information from the cloud. As a result, vehicles with a higher velocity are more likely to suffer from a traffic accident as compared to the vehicles with a lower velocity. Hence, this paper considers the fair-access problem and proposes a fair-access scheme to ensure that vehicles with different velocities successfully transmit the same amount of data by adaptively adjusting the minimum contention window of each vehicle according to its velocity. Moreover, the normalized throughput of the proposed scheme is derived. The validity of the fair-access scheme is demonstrated by simulation.