Related Experiment Video
Updated: May 18, 2026
05:30
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
Published on: September 8, 2023
Game theory for Wireless Sensor Networks: a survey
Hai-Yan Shi1, Wan-Liang Wang, Ngai-Ming Kwok
1College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China. csshy@usx.edu.cn
Sensors (Basel, Switzerland)
|September 27, 2012
Summary
Game theory (GT) offers a mathematical framework for understanding cooperation and conflict in intelligent systems, proving highly beneficial for designing wireless sensor networks (WSNs). This survey details GT applications in WSNs, covering routing, power management, security, and more.
Area of Science:
- Computer Science
- Network Engineering
- Applied Mathematics
Background:
- Game Theory (GT) provides a mathematical framework for analyzing strategic interactions between rational decision-makers.
- Wireless Sensor Networks (WSNs) present complex challenges in resource management and coordination.
- GT has emerged as a powerful tool for addressing these challenges in WSN design.
Purpose of the Study:
- To survey recent advancements and findings in Game Theory (GT) relevant to Wireless Sensor Networks (WSNs).
- To provide a comprehensive overview of GT's diverse applications within the WSN domain.
- To identify current challenges and future research directions in this interdisciplinary field.
Main Methods:
- Introduction to the standard formulation of GT within WSN contexts.
- Description of GT's roles in various WSN operational aspects.
- Explanation of cooperative, non-cooperative, and repeated game theory schemes.
Main Results:
- GT is instrumental in WSN design, influencing routing protocols, topology control, and power management.
- Applications extend to spectrum and bandwidth allocation, quality of service, coverage optimization, and security.
- Analysis of cooperative, non-cooperative, and repeated game schemes provides tailored solutions for WSNs.
Conclusions:
- Game Theory is a vital mathematical tool for optimizing Wireless Sensor Network performance and management.
- The survey highlights the broad applicability and effectiveness of GT in addressing WSN challenges.
- Future research should focus on identified problems and emerging trends to further enhance WSN capabilities.
Related Concept Videos
01:26Signal and System
A signal x(t) is a set of data or a time function representing a variable of interest. Signals typically convey information about a phenomenon, such as atmospheric temperature, humidity, human voice, television images, a dog's bark, or birdsongs. More generally, a signal can be a function of more than one independent variable. For instance, images depend on horizontal and vertical positions and can be regarded as two-dimensional signals. However, this text will focus on one-dimensional signals...
01:15Sampling Theorem
In signal processing, the analysis of continuous-time signals, denoted as x(t), often involves sampling techniques to convert these signals into discrete-time signals. This process is essential for digital representation and manipulation. A critical component in sampling is the train of impulses, characterized by the sampling interval and the sampling frequency. The relationship between these parameters and the original signal's properties dictates the success of the sampling process.
01:18Signal Flow Graphs
Signal-flow graphs offer a streamlined and intuitive approach to representing control systems, providing an alternative to traditional block diagrams. These graphs use branches to symbolize systems and nodes to represent signals, effectively illustrating the relationships and interactions within the system.
In a signal-flow graph, branches denote the system's transfer functions, while nodes represent the signals. The direction of signal flow is indicated by arrows, with the corresponding...
In a signal-flow graph, branches denote the system's transfer functions, while nodes represent the signals. The direction of signal flow is indicated by arrows, with the corresponding...
01:28Global Regulatory Systems
Global regulatory systems in bacteria enable rapid and coordinated responses to environmental changes by integrating sensory inputs with gene expression, ensuring efficient adaptation to fluctuating conditions. Key global regulatory mechanisms include regulons, two-component systems, sigma factors, and secondary messengers.Regulons and Global RegulatorsA regulon is a collection of genes and operons controlled by a common global regulator. These regulators enable bacteria to prioritize resource...
01:14Circuit Terminology
An electrical network is a system composed of interconnected elements, such as resistors, capacitors, inductors, and voltage or current sources. Unlike a circuit, an electrical network does not necessarily form a closed path. In other words, while all circuits can be considered networks due to their interconnected nature, not every network qualifies as a circuit.
A circuit, on the other hand, is also an interconnected system of electrical elements but must contain one or more closed paths.
A circuit, on the other hand, is also an interconnected system of electrical elements but must contain one or more closed paths.
01:20Conduction, Convection and Radiation: Problem Solving
There are three methods by which heat transfer can take place: conduction, convection, and radiation. Each method has unique and interesting characteristics, but all three have two things in common: they transfer heat solely because of a temperature difference; and the greater the temperature difference, the faster the heat transfer.
In order to solve a problem related to heat transfer, first of all, the situation needs to be examined to determine the type of heat transfer involved. This could...
In order to solve a problem related to heat transfer, first of all, the situation needs to be examined to determine the type of heat transfer involved. This could...