MAP-ACO: An efficient protocol for multi-agent pathfinding in real-time WSN and decentralized IoT systems

Efficient energy consumption is one of the main problems in wireless sensor networks routing protocols. Since the sensor nodes have limited battery level and memory space, it is important to manage these resources efficiently. Although there are studies in this subject in recent years, it is lacking...

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Bibliographic Details
Published inMicroprocessors and microsystems Vol. 79; p. 103325
Main Authors Seyyedabbasi, Amir, Kiani, Farzad
Format Journal Article
LanguageEnglish
Published Kidlington Elsevier B.V 01.11.2020
Elsevier BV
Subjects
ACO
Ant colony optimization
Energy consumption
Evaporation rate
IoT
Metaheuristic algorithms
Multiagent systems
Protocol (computers)
Real time
Resource management
Routing (telecommunications)
Routing protocols
Wireless networks
Wireless sensor networks
WSN
Routing protocols
WSN
Resource management
ACO
IoT
Metaheuristic algorithms
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Summary:Efficient energy consumption is one of the main problems in wireless sensor networks routing protocols. Since the sensor nodes have limited battery level and memory space, it is important to manage these resources efficiently. Although there are studies in this subject in recent years, it is lacking in concurrent and real-time environments with multi-agents. The importance of this issue is increasing more especially for decentralized IoT systems. This paper presents a novel routing protocol based on ant colony optimization for multi-agents that manages network resources adequately in real-time conditions. The proposed method is used, both to find the next destination of ants, and to manage pheromone update and evaporation rate operators. This method takes into account some key parameters such as remaining energy, buffer size, traffic rate, and distance when selecting the next destination under different conditions. The proposed method finds the optimal paths with low energy consumption thereby prolonging the network lifetime in concurrent and parallel conditions. The simulation results of the proposed method have given good results, in terms of network lifetime and energy consumption, when compared with other ant colony optimization (ACO)-based routing protocols.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:0141-9331
1872-9436
DOI:10.1016/j.micpro.2020.103325