An Experimental Investigation to Enhance the Life of Wireless Sensor Network by Optimizing the Transmission Power Level of the Data Packets | Chapter 03 | Novel Perspectives of Engineering Research Vol. 9

 In recent years, wireless sensor networks (WSN) have gotten a lot of attention. As a result, a number of power-aware algorithms using a variety of techniques have been created. Time scheduling methodologies, delay bound constraints, data adoption strategies, data aggregation, mobility sinks, a query-based approach, and management of spare nodes based on residual energy levels are all used in these tactics. The lifetime extensions gained through practical deployments are much smaller than those obtained using equivalent approaches in simulations. In relation to the load, the battery's rate capacity and recovery impact are investigated. Three key causes of battery mortality have been identified: poor sample interval selection, the effect of the sensor field's environment, and transferring the detected data with an improper transmission power level. Using a realistic method, the impact of altering transmission power levels on the lifetime of the sensor node and hence the wireless sensor network is explored in this research. During the procedure, an ideal value for data packet transmission power is identified, lowering the battery's Rate Capacity. The sensor node's lifetime was enhanced by about 23% with the optimised transmission power level. The goal of this project in the future is to employ the best sampling interval and transmission power level to extend the WSN's lifetime even further.

Author(S) Details

Satyanarayana Chanagala
SBIT, Khammam, Telangana, India.

M. Srinivasa Sesha Sai
KKR & KSR Institute of Technology and Sciences, Guntur (A.P), India.

K. Madhu Sudhana Rao
KKR & KSR Institute of Technology and Sciences, Guntur (A.P), India.

Neelima Pravin Dudhe
Rajiv Gandhi College of Engineering, Research, and Technology, Chandrapur (MH), India.

M. Kavitha
MNR College of College of Engineering and Technology, Sangareddy, India.

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An Investigative Approach to Enhance the Sensor Node Life by Mitigating the Recovery Effect of the Battery | Chapter 11 | New Approaches in Engineering Research Vol. 7

 Recent advancements in the field of Wireless Sensor Networks (WSNs) have resulted in a wide range of applications in a variety of fields, and it is not an exaggeration to argue that no field has been left unaffected by sensors. Agriculture, defence, medical, disaster and relief management, vehicle traffic monitoring, animal monitoring in forests, and monitoring of pollution levels in the atmosphere are just a few examples. The combination of micro-sensing and wireless communication between these nodes opens up a slew of new domains. Wireless sensor network applications can be divided into several categories. Environment, health, space exploration, chemical processing, and disaster aid are just a few of the topics covered. Finally, end-users will receive updated information through sensor networks. Wireless sensor networks are likely to become an important aspect of our lives in the future. The majority of nodes are powered by nonrechargeable batteries. As a result, energy is a major challenge. The only way to deploy sensor fields in enemy zones, impenetrable locations such as woods and hilly terrains, and other hazardous settings is at random. It is tough to replace drained batteries in such circumstances. Furthermore, the sensor nodes are frequently abandoned for the crucial reason that their  As a result, a significant bottleneck is ensuring lower power consumption in tough sensor field conditions where sensor nodes are to be installed. As a result, prior and current research has concentrated on the creation of power conservation strategies. In general, these protocols offer end-user trade-offs in order to extend network lifetime. The major goal of this study is to investigate the effect of the sampling interval, which is one of the sensor node parameters, on the sensor node's battery life. An incorrect sample interval selection will result in a strong recovery effect, which will cause the sensor node's battery to die prematurely. The wireless sensor network would thus die prematurely as a result of this. The suggested approach utilised in this paper improved the battery life of the sensor node by 18%, extending the lifetime of the wireless sensor network.

Author (s) Details

Satyanarayana Chanagala
SBIT, Department of Electronics and Communication, Khammam, Telangana, India.

Z. J. Khan
RCERT, Chandrapur, Maharashtra, India.

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A Study on Vibration Induced Fatigue Integrity of Piping in Membrane Water Treatment Plant | Chapter 10 | International Research in Environment, Geography and Earth Science Vol. 4

 

Piping roles as the main bridge between membrane modules and relevant pumps in membrane water
treatment plants. The pipes deliver only water, both water and air, only air or chemicals (alkaline or
acid detergents) from the pumps to the membranes, depending on the operation modes of the
membrane. Various fluid phenomena occur in the same piping with different phases flow, forward and
reverse directions of flow and high and zero velocity of a fluid. Therefore, the vibration of membrane
plant piping can be induced by flow, acoustic resonance, mechanical excitation, resulting in a
significant risk in the integrity and safety of the system. This study evaluated flow analysis for vibration
diagnostic and evaluation of the fatigue in the microfiltration system applied for a drinking water
treatment plant. The vibration of the main membrane pipelines was measured to identify the source of
vibration. Also, natural frequency and fluid dynamics were calculated by computational fluid dynamics.
It showed that maximum magnitude frequencies were at 12Hz and 22Hz, respectively at the water
and air pipeline during filtration and backwash. The backwash process caused mainly vibration on the
backwash water pipe. The calculated frequency from analysis of frequency response and CFD was in
a good agreement with the measured frequency. Fatigue analysis showed that pipelines were getting
little damage caused by vibration. Fatigue lifetime was predicted more than 15 years under the
operation condition of daily filtration, and more than 27 years under the operation condition of a daily
backwash mode, resulting in minor damage on the pipe lifetime .

Author (s) Details

Heekyong Oh
Engineering Solution Team, Daewoo E&C, 170 Eulji-ro, Jung-gu, Seoul, Republic of Korea.

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