A Secure Energy-Aware Game Theory (SEGaT) Mechanism for Coordination in WSANs

被引：41

作者：

Jagota, Vishal ^{[1
]}

Luthra, Monica ^{[2
]}

Bhola, Jyoti ^{[3
]}

Sharma, Ashutosh ^{[4
]}

Shabaz, Mohammad ^{[5
]}

机构：

[1] Madanapalle Inst Technol & Sci, Madanapalle, Andhra Pradesh, India

[2] Chitkara Univ, Inst Engn & Technol, Rajpura, Punjab, India

[3] Natl Inst Technol, Hamirpur, India

[4] Southern Fed Univ, Rostov Na Donu, Russia

[5] Chandigarh Univ, Dept Comp Sci Engn, Mohali, India

来源：

INTERNATIONAL JOURNAL OF SWARM INTELLIGENCE RESEARCH | 2022年 / 13卷 / 02期

关键词：

Coordination; EAAS; Game Theory; SEGaT; SENSOR NETWORKS;

D O I：

10.4018/IJSIR.287549

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A novel secure energy-aware game theory (SEGaT) method has proposed to have better coordination in wireless sensor actor networks. An actor has a cluster of sensor nodes which is required to perform different action based on the need that emerge in the network individually or sometimes with coordination from other actors. The method has different stages for the fulfilment of these actions. Based on energy-aware actor selection (EAAS), selection of a number of actors and their approach is the initial step followed by the selection of best team of sensors with each actor to carry out the action, and lastly the selection of reliable node within that team to finally nail the action into place in the network for its smooth working and minimum compromise in the energy. The simulations are done in MATLAB, and the result of the energy and the packet delivery ratio are compared with game theory (GaT) and real-time energy constraint (RTEC) method. The proposed protocol performs better in terms of energy consumption and packet delivery ratio as compared to its competitive protocols.

引用

页数：16

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