Performance Evaluation of IEEE 802.15.4 Protocol Under Coexistence of WiFi 802.11b

Wagh, Sharad; More, Avinash; Kharote, Prashant Ramesh

doi:10.1016/j.procs.2015.07.467

Cited by 30 publications

(19 citation statements)

References 1 publication

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“…In our experiment, the results show an increase of backoff number, the delay and packet drop with the increase of the number of Wi-Fi devices. A frequency agility based interference avoidance algorithm has been proposed in [21], it detects interference and adaptively switches nodes to safe channel to dynamically avoid WLAN interference. As we have shown previously, simulation results also show that failed transmissions are much higher under the heavy interferences.…”

Section: Simulation Resultsmentioning

confidence: 99%

Adaptive Parameters Adjustment in WBAN based IEEE 802.15.4 Protocol to Mitigate Wi-Fi Interferences

Sarra¹,

Ezzedine²

2018

CIT

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Wireless Body Area Network (WBAN), called also Wireless Body Sensor Network (WBSN), is composed of a set of tiny wireless devices (sensors) attached, implanted or ingested into the body. It offers real time and ubiquitous applications thanks to the small form, the lightness, and the wireless interface of sensors. WBAN performance is expected to be considerably degraded in the presence of Wi-Fi networks. Their operating channels overlap in the 2.4 GHz Industrial Scientific and Medical (ISM) band which produces interference when they transmit data, accompanied by data losses and quick battery exhaustion. Therefore, it is crucial to mitigate the interference between WBAN and Wi-Fi networks in order to maintain the efficiency and the reliability of the WBAN system. Proposals in the literature use an added complex hardware in WBAN system, or perform the exchange of additional information, or establish expensive communications, or affect the quality of service of the WBAN. Unlike previous researches, we proposed simple, low cost and dynamic method that adaptively adjusts specific parameters in the Medium Access Control (MAC) layer. We have proved the effectiveness of our approach based on theoretical analysis and simulation using MiXiM framework of OMNet++ simulator. ACM CCS (2012) Classification: Networks → Network types → Mobile networks

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Section: Simulation Resultsmentioning

confidence: 99%

Adaptive Parameters Adjustment in WBAN based IEEE 802.15.4 Protocol to Mitigate Wi-Fi Interferences

Sarra¹,

Ezzedine²

2018

CIT

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“…, 9} nodes on an area of 100 m × 100 m. Again, the CDF is evaluated based on localization error. In [22] range-free localization techniques are also evaluated on an area of 1000 m × 1000 m where the log-normal shadowing model is used for different propagation settings, at 2.4 GHz Wi-Fi/802.11g [42,43] and 5.8 GHz [44,45]. In this scenario the localization technique performance is evaluated on the basis of the ALE and the CDF, by varying the node density ρ ∈ {0.25, 0.5, 0.75, 1, .…”

Section: Classification Of the Localization Techniquesmentioning

confidence: 99%

Factorial Design Analysis for Localization Algorithms

Mass-Sanchez¹,

Ruiz-Ibarra²,

Gonzalez-Sanchez³

et al. 2018

Applied Sciences

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Localization is a fundamental problem in Wireless Sensor Networks, as it provides useful information regarding the detection of an event. There are different localization algorithms applied in single-hop or multi-hop networks; in both cases their performance depends on several factors involved in the evaluation scenario such as node density, the number of reference nodes and the log-normal shadowing propagation model, determined by the path-loss exponent (η) and the noise level (σdB) which impact on the accuracy and precision performance metrics of localization techniques. In this paper, we present a statistical analysis based on the 2k factorial methodology to determine the key factors affecting the performance metrics of localization techniques in a single-hop network to concentrate on such parameters, thus reducing the amount of simulation time required. For this proposal, MATLAB simulations are carried out in different scenarios, i.e., extreme values are used for each of the factors of interest and the impact of the interaction among them in the performance metrics is observed. The simulation results show that the path-loss exponent (η) and noise level (σdB) factors have the greatest impact on the accuracy and precision metrics evaluated in this study. Based on this statistical analysis, we recommend estimating the propagation model as close to reality as possible to consider it in the design of new localization techniques and thus improve their accuracy and precision metrics.

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“…The study, entitled Performance Evaluation of IEEE 802.15.4 Protocol Under Coexistence of 802.11b by wagh et al [12]. This study aims to simulate the frequency of wifi 802.11b protocols (ZigBee) to prevent coexistence in a wireless network.…”

Section: Current Researchmentioning

confidence: 99%

Wi-Fi Security Level Analysis for Minimizing Cybercrime

Abadi¹,

Riadi²,

Prayudi³

2017

IJCA

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The increasing human need for Internet access requires Internet access service that is easy to do as the availability of Wi-Fi hotspot. Among the many Wi-Fi hotspots in public service locations in Yogyakarta is still very little attention to the security of data communications on the wireless network. This makes the hacker be interested to discover his ability to perform various activities of cybercrime. This study aims to analyze and test the Wi-Fi network security contained in locations of public services in Yogyakarta. The method used in this study is a qualitative method that consists of five main steps, namely the study of literature, the issue of criteria WiFi, research instruments, data collection, and analysis. The location of public services, Wi-Fi hotspot providers selected in three categories: hotel, restaurant / cafe, and educational institutions. Each public service category taken sample 5 different locations. Testing is done with action that leads to crime by type of action such as sniffing, DNS spoofing and hijacking. The results showed that the majority of Wi-Fi located at the location of public service vulnerable to criminal attack. Wi-Fi throughout the studied (100%) are not secure against sniffing activities, 80% are not secure against DNS spoofing activities, and 66.6% are not secure against hijacking action.

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Performance Evaluation of IEEE 802.15.4 Protocol Under Coexistence of WiFi 802.11b

Cited by 30 publications

References 1 publication

Adaptive Parameters Adjustment in WBAN based IEEE 802.15.4 Protocol to Mitigate Wi-Fi Interferences

Adaptive Parameters Adjustment in WBAN based IEEE 802.15.4 Protocol to Mitigate Wi-Fi Interferences

Factorial Design Analysis for Localization Algorithms

Wi-Fi Security Level Analysis for Minimizing Cybercrime

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