scholarly journals An Active Defense Model with Low Power Consumption and Deviation for Wireless Sensor Networks Utilizing Evolutionary Game Theory

Energies ◽  
2018 ◽  
Vol 11 (5) ◽  
pp. 1281 ◽  
Author(s):  
Mohammed Al-Jaoufi ◽  
Yun Liu ◽  
Zhenjiang Zhang
Keyword(s):  
Game Theory ◽  
Wireless Sensor Networks ◽  
Power Consumption ◽  
Low Power ◽  
Evolutionary Game Theory ◽  
Evolutionary Game ◽  
Wireless Sensor ◽  
Low Power Consumption ◽  
Active Defense ◽  
Defense Model

scholarly journals An efficient networking solution for extending and controlling wireless sensor networks using low-energy technologies

2021 ◽  
Vol 7 ◽  
pp. e780
Author(s):  
Mostafa Ibrahim Labib ◽  
Mohamed ElGazzar ◽  
Atef Ghalwash ◽  
Sarah Nabil AbdulKader
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Power Consumption ◽  
Low Power ◽  
Mesh Networks ◽  
Wireless Sensor ◽  
Low Power Consumption ◽  
Construction Sites ◽  
Mesh Topology ◽  
Energy Technologies

Wireless sensor networks connect a set of highly flexible wireless devices with small weight and size. They are used to monitor and control the environment by organizing the acquired data at a central device. Constructing fully connected networks using low power consumption sensors, devices, and protocols is one of the main challenges facing wireless sensor networks, especially in places where it is difficult to establish wireless networks in a normal way, such as military areas, archaeological sites, agricultural districts, construction sites, and so on. This paper proposes an approach for constructing and extending Bi-Directional mesh networks using low power consumption technologies inside various indoors and outdoors architectures called “an adaptable Spider-Mesh topology”. The use of ESP-NOW protocol as a communication technology added an advantage of longer communication distance versus a slight increase of consumed power. It provides 15 times longer distance compared to BLE protocol while consuming only twice as much power. Therefore, according to our theoretical and experimental comparisons, the proposed approach could provide higher network coverage while maintaining an acceptable level of power consumption.

scholarly journals Study on Selfish Node Incentive Mechanism with a Forward Game Node in Wireless Sensor Networks

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Mohammed Ahmed Ahmed Al-Jaoufi ◽  
Yun Liu ◽  
Zhen-jiang Zhang ◽  
Lorna Uden
Keyword(s):  
Game Theory ◽  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Evolutionary Game Theory ◽  
Incentive Mechanism ◽  
Evolutionary Game ◽  
Wireless Sensor ◽  
Selfish Node

In a wireless sensor network, some nodes may act selfishly and noncooperatively, such as not forwarding packets, in response to their own limited resources. If most of the nodes in a network exhibit this selfish behavior, the entire network will be paralyzed, and it will not be able to provide normal service. This paper considers implementing the idea of evolutionary game theory into the nodes of wireless sensor networks to effectively improve the reliability and stability of the networks. We present a new model for the selfish node incentive mechanism with a forward game node for wireless sensor networks, and we discuss applications of the replicator dynamics mechanism to analyze evolutionary trends of trust relationships among nodes. We analyzed our approach theoretically and conducted simulations based on the idea of evolutionary game theory. The results of the simulation indicated that a wireless sensor network that uses the incentive mechanism can forward packets well while resisting any slight variations. Thus, the stability and reliability of wireless sensor networks are improved. We conducted numerical experiments, and the results verified our conclusions based on the theoretical analysis.

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