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Related Concept Videos

Energy Balance01:19

Energy Balance

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The human body gets energy from the three macronutrients: carbohydrates, proteins, and fats. Energy is released when the chemical bonds in the organic compounds present in the food are broken down. The energy content of food is measured in kilocalories (kcal), defined as the amount of heat required to raise the temperature of one kilogram of water by one degree Celsius. This value is determined by measuring the temperature change of the water surrounding a calorimeter after the complete...
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Energy Associated With a Charge Distribution01:21

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The work done to bring a charge through a distance r is given by the potential difference between the initial and the final position. To assemble a collection of point charges, the total work done can be expressed in terms of the product of each pair of charges divided by their separation distance, defined with respect to a suitable origin. Solving this expression gives the energy stored in a point charge distribution.
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Acid-Base Balance01:25

Acid-Base Balance

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The human body maintains a narrow pH range regulated through acid-base balance. This balance is crucial as changes in the hydrogen ion concentration can disrupt cell membrane stability, alter protein structures, and change enzyme activities. The normal pH of arterial blood is 7.4, venous blood and interstitial fluid is 7.35, and intracellular fluid averages 7.0.
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Respiratory Regulation of Acid-Base Balance01:18

Respiratory Regulation of Acid-Base Balance

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Respiratory compensation is a vital physiological process that stabilizes blood plasma pH by regulating the partial pressure of carbon dioxide (PCO2), a key determinant of pH levels. Most carbon dioxide in the blood dissolves and converts into carbonic acid (H2CO3). It dissociates into hydrogen ions (H+) and bicarbonate ions (HCO3⁻). There is also an inverse relationship between PCO2​​ and pH.
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Disorders of Acid-Base Balance01:29

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The human body maintains a precise pH range of arterial blood between 7.35 and 7.45. Deviations result in either acidosis (pH < 7.35) or alkalosis (pH > 7.45). These conditions are further classified as respiratory or metabolic disorders based on their underlying cause.
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Conservation of Energy in Control Volume01:14

Conservation of Energy in Control Volume

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Consider a turbine operating under steady-flow conditions. The control volume is drawn around the turbine, with fluid entering at one point and exiting at another. The turbine extracts energy from the fluid, which performs mechanical work (shaft work).
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A Distributed Energy-Balanced Topology Control Algorithm Based on a Noncooperative Game for Wireless Sensor Networks.

Yongwen Du1, Junhui Gong2, Zhangmin Wang3

  • 1School of Electronics & Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China. duyongwen@mail.lzjtu.cn.

Sensors (Basel, Switzerland)
|December 19, 2018
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Summary

This study introduces an Energy Balance Topology control Game (EBTG) algorithm for wireless sensor networks. EBTG improves energy balance and efficiency, extending network lifetime by addressing selfish node behavior.

Keywords:
energy balancedgame theorytopology controlwireless sensor networks

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Area of Science:

  • Computer Science
  • Network Engineering
  • Game Theory

Background:

  • Wireless sensor networks (WSNs) face challenges with selfish node behavior leading to energy imbalance due to the lack of central control.
  • Noncooperative game theory effectively models this selfish behavior in WSNs.
  • Existing topology control algorithms struggle to balance energy consumption and network longevity.

Purpose of the Study:

  • To address transmission power minimization and energy balance in WSNs.
  • To develop a topology control game model that ensures Pareto optimality.
  • To propose an algorithm that enhances energy efficiency and network lifetime.

Main Methods:

  • Establishment of a topology control game model, proven to be an ordinal potential game with Pareto optimality.
  • Proposal of the Energy Balance Topology control Game (EBTG) algorithm.
  • Design of an improved optimization-integrated utility function incorporating the Theil index for energy efficiency and balance.

Main Results:

  • The EBTG algorithm demonstrates significant improvements in energy balance among nodes.
  • Enhanced energy efficiency was observed with the application of the EBTG algorithm.
  • Simulation results indicate a prolonged network lifetime compared to other game theory-based topology control algorithms.

Conclusions:

  • The EBTG algorithm effectively mitigates selfish behavior in WSNs by optimizing topology control.
  • The proposed utility function successfully balances energy efficiency and network-wide energy distribution.
  • EBTG offers a promising approach for sustainable and long-lasting wireless sensor network operations.