Efficient Design and Deployment of Aqua Monitoring Systems Using WSNs and Correlation Analysis

Chandanapalli, Suresh Babu; Reddy, E. Sreenivasa; Davuluri, D. Rajya Lakshmi

doi:10.15837/ijccc.2015.4.1514

Cited by 6 publications

(4 citation statements)

References 8 publications

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“…If in Figure 5 the error continues to increase after the end of the simulation time, then in Figure 6 the error reaches a smaller value and after that does not increaseи [38]. Let us show that the obtained values differ from the values that could be obtained from relations (3). Indeed, for this model 𝑘 𝑚 = 4.05678,𝑇 𝑚 = 7.10778, 𝜏 𝑚 = 1.43256, while calculations using relation (3) would give the following values: 𝑘 𝑚 = 4, 𝑇 𝑚 = 1,𝜏 𝑚 = 6.75.…”

Section: Methodsmentioning

confidence: 79%

“…The ganetxl optimization model for automation of water systems is used, improvement of the correct water distribution is considered and it is shown that epanet2 can be adapted for successful modeling of intermittent water systems, and a set of solutions for economic or social factors is proposed [2]. According to the water distribution and reception system, analytical work was carried out on two different models, in which data was transmitted via global system for mobile communications (GSM) to a database at the receiving station, interfaces and observers were used, and was analyzed on the basis of innovative solutions [3]. Trial work was carried out on two river water resources, water purification was carried out using modern methods to reduce the turbidity phenomenon in several sectors of the river, special sensors for water composition and ph were applied, a comparative analysis of parameters for special samples was carried out [4].…”

Section: Introductionmentioning

confidence: 99%

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Investigation of linear models for control of water flow and temperature in a water supply system

Asset,

Mansurova,

Zhmud

et al. 2024

IJEECS

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In some cases, the object model is a set of parallel models of the same general appearance, but with different parameters. The most common model is a model in the form of a serial connection of a first- or second-order filter and a delay link. An example is the water supply system of a large residential building or a group of houses. From the most general considerations, we can expect that such an object can be approximately described by a simpler model, replacing the sum of identical-looking models with different parameters with a single model of this type with averaged parameters, however, finding many parameters simply in the form of an average is, apparently, an unreasonable approach. It seems more reasonable to find the parameters by the approximating model by numerical optimization, in which the integral from the module or from the square of the deviation of the output signal of such a model from the output signal of the exact model is minimized when the test signal is applied. For linear models, the most reasonable test signal is a single step effect. This article tests this hypothesis and provides the results of this test.

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Section: Methodsmentioning

confidence: 79%

Section: Introductionmentioning

confidence: 99%

Investigation of linear models for control of water flow and temperature in a water supply system

Asset,

Mansurova,

Zhmud

et al. 2024

IJEECS

View full text Add to dashboard Cite

show abstract

“…For densely deployed sensor networks, there is a certain similarity between the data collected by the geographically adjacent nodes [34]. Therefore, the data correlation of the neighbor nodes can be implemented to measure the sensor's credibility.…”

Section: B Nodes's Credibilitymentioning

confidence: 99%

Anomaly Detection Approach for Urban Sensing Based on Credibility and Time-Series Analysis Optimization Model

Zhang

2019

IEEE Access

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Urban sensor networks often consist of a large number of low-cost sensor nodes. Due to the constrained resource devices and hazardous deployment, urban sensing is vulnerable to interference and destruction of external factors or the impact of external environmental emergencies. Abnormal data, outliers, or anomalies have affected the utility in various domains seriously. Timely and accurate detection of unexpected events, monitoring of network performance, and anomaly detection of data flow are of great significance to improve the decision-making ability of the system. In this paper, we propose an anomaly detection method for urban sensing based on sequential data and credibility. First, based on Bayesian methods, a reputation model is established for the selection of credible sample points. Second, aiming at the problem that the threshold range is difficult to determine in the traditional method, the pivot quantity is defined by using the median of the credible sample, and the confidence interval can be estimated to quantify the deviation degree of the sensor data. Finally, an anomaly data identification and source verification approach is proposed to distinguish errors and events accurately. The evaluation results on both the detection rate and the false positive rate demonstrate a better performance of our approach than the other existing methods.

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“…In work [14-17], the cluster head is equipped with a GPRS (general packet radio service) module that can provide a longer range. In work [18,19], the sensor node directly uses the GSM/GPRS modem for long-range communication. However, the GPRS module has higher power consumption and operating costs, and the network coverage and capability depend on the existing infrastructure.LPWAN represents a new trend in the evolution of IoT technologies.…”

mentioning

confidence: 99%

A Long-Range 2.4G Network System and Scheduling Scheme for Aquatic Environmental Monitoring

2019

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Wireless communications for applications of inshore fishery and large area aquatic environmental monitoring are really challenging, due to the characteristics of a long monitoring period, large coverage area, and adverse transmission conditions. Recently, LPWAN (low-power wide-area network) became the new solution to address these challenges, due to its long transmission distance and low power consumption of end-nodes. In this paper, we designed a novel network system for aquatic environmental monitoring, based on long-range 2.4G technology, which consisted of a low cost dual-channel gateway and end-nodes. A DMSF (dual-channel multiple spreading factors)–TDMA (time division multiple access) MAC (medium access control) scheme for this system was proposed, which largely reduces the channel collision probability, and improves the real-time for urgent data and the average lifetime of end-nodes. We verified the applicability of the long-range 2.4G technology in an aquatic environment, by point-to-point communication experiments over lake water. The performance evaluation and analysis of DMSF–TDMA is presented through simulations, and comparison with other existing schemes. The results demonstrated the benefit of our proposed scheme, in terms of the packet delivery rate, delay, and energy consumption.

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Efficient Design and Deployment of Aqua Monitoring Systems Using WSNs and Correlation Analysis

Cited by 6 publications

References 8 publications

Investigation of linear models for control of water flow and temperature in a water supply system

Investigation of linear models for control of water flow and temperature in a water supply system

Anomaly Detection Approach for Urban Sensing Based on Credibility and Time-Series Analysis Optimization Model

A Long-Range 2.4G Network System and Scheduling Scheme for Aquatic Environmental Monitoring

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