The mobile nature of the nodes in a wireless mobile ad-hoc network (MANET) and the error prone link connectivity between nodes pose many challenges. These include frequent route changes, high packet loss, etc. Such problems increase the end-toend delay and decrease the throughput. This paper proposes two adaptive priority packet scheduling algorithms for MANET based on Mamdani and Sugeno fuzzy inference system. The fuzzy systems consist of three input variables: data rate, signal-to-noise ratio (SNR) and queue size. The fuzzy decision system has been optimised to improve its efficiency. Both fuzzy systems were verified using the Matlab fuzzy toolbox and the performance of both algorithms were evaluated using the riverbed modeler (formally known as OPNET modeler). The results were compared to an existing fuzzy scheduler under various network loads, for constant-bit-rate (CBR) and variable-bit-rate (VBR) traffic. The measuring metrics which form the basis for performance evaluation are end-to-end delay, throughput and packet delivery ratio. The proposed Mamdani and Sugeno scheduler perform better than the existing scheduler for CBR traffic. The end-to-end delay for Mamdani and Sugeno scheduler was reduced by an average of 52 % and 54 %, respectively. The performance of the throughput and packet delivery ratio for CBR traffic are very similar to the existing scheduler because of the characteristic of the traffic. The network was also at full capacity. The proposed schedulers also showed a better performance for VBR traffic. The end-to-end delay was reduced by an average of 38 % and 52 %, respectively. Both the throughput and packet delivery ratio (PDR) increased by an average of 53 % and 47 %, respectively. The Mamdani scheduler is more computationally complex than the Sugeno scheduler, even though they both showed similar network performance. Thus, the Sugeno scheduler is more suitable for real-time applications.
Wi-Fi technology has strong potentials in indoor and outdoor sensing applications, it has several important features which makes it an appealing option compared to other sensing technologies. This paper presents a survey on different applications of Wi-Fi based sensing systems such as elderly people monitoring, activity classification, gesture recognition, people counting, through the wall sensing, behind the corner sensing, and many other applications. The challenges and interesting future directions are also highlighted.
Background: The Gait Outcomes Assessment List for children with Lower Limb Difference (GOAL-LD) is a patient and parent-reported outcome measure that incorporates the framework of the International Classification of Functioning, Disability, and Health. This prospective multicenter cohort study evaluates the validity and reliability of the GOAL-LD and the differences between parent and adolescent report. Method: One hundred thirty-seven pediatric patients aged over 5 years attending limb reconstruction clinics at the participating sites were assessed at baseline, and a self-selected cohort also completed an assessment 2 to 6 weeks later. Construct and criterion validity were assessed by comparing GOAL-LD scores with a measure of limb deformity complexity (LLRS-AIM) and the Pediatric Outcomes Data Collection Instrument, using Spearman correlation coefficients. Face and content validity were determined through ratings of item importance. Test-retest reliability was reported as an intraclass correlation coefficient and internal consistency using Cronbach α. Adolescent reports were compared with their parents using paired t tests. Results:The GOAL-LD demonstrated a moderate negative correlation with the LLRS-AIM (r = −0.40, P < 0.001) and was able to discriminate between deformity complexity groups as defined by the LLRS-AIM (χ 2 = 11.43, P = 0.022). Internal consistency was high across all domains (α ≥ 0.68 to 0.97). Like domains of the Pediatric Outcomes Data Collection Instrument and the GOAL-LD were well correlated. Parents reported a lower total GOAL-LD score when compared with adolescents (mean difference 3.04; SE 1.06; 95% confidence interval, 0.92-5.16; P < 0.01); however this difference was only significant for body image and self-esteem (Domain F) and gait appearance (Domain D). Test-retest reliability remained high over the study period (intraclass correlation coefficient 0.85; SE 0.03; 95% confidence interval, 0.77-0.91). Conclusions:The GOAL-LD is a valid and reliable self and parent-reported outcome measure for children with lower limb difference. Parents report a lower level of function and attribute a higher importance to items when compared with their children. The GOAL-LD helps to communicate parent and child perspectives on their function and priorities and therefore has the capacity to facilitate family centered treatment planning and care. Level of Evidence: Level II-diagnostic. Prospective crosssectional and a longitudinal cohort design.
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