Combining multi-agent systems and Artificial Intelligence of Things: Technical challenges and gains
Abstract A Multi-Agent System (MAS) usually refers to a network of autonomous agents that
interact with each other to achieve a common objective. This system is therefore composed …
interact with each other to achieve a common objective. This system is therefore composed …
[HTML][HTML] Agent-based approaches for biological modeling in oncology: A literature review
Context: Computational modeling involves the use of computer simulations and models to
study and understand real-world phenomena. Its application is particularly relevant in the …
study and understand real-world phenomena. Its application is particularly relevant in the …
[HTML][HTML] Fuzzy logic-supported building design for low-energy consumption in urban environments
Climate, building materials, occupancy patterns, and HVAC (heating, ventilation, and air
conditioning) systems all interact in complex ways, making it difficult to design low-energy …
conditioning) systems all interact in complex ways, making it difficult to design low-energy …
Applications, challenges, and solutions to single-and multi-objective critical node detection problems: a survey
Recognizing critical nodes in complex networks has emerged as a challenging task across
several application areas. The critical node detection problem (CNDP) is an optimization …
several application areas. The critical node detection problem (CNDP) is an optimization …
[HTML][HTML] Distance and energy aware extended LEACH using secondary cluster head for wireless sensor networks
A Hossan, S Akter, PK Choudhury - Telematics and Informatics Reports, 2022 - Elsevier
Sensor node's energy consumption is a crucial consideration for designing a wireless
sensor network (WSN) as the node is battery powered with limited energy that significantly …
sensor network (WSN) as the node is battery powered with limited energy that significantly …
CDEIR: intelligent routing for efficient wireless sensor networks using BUG algorithm
Wireless Sensor Networks (WSNs) are used to monitor specific areas of the environment by
networking multiple sensors and collecting data for analysis. However, due to limited …
networking multiple sensors and collecting data for analysis. However, due to limited …
Wireless sensor networks and machine learning centric resource management schemes: A survey
GS Kori, MS Kakkasageri, PM Chanal, RS Pujar… - Ad Hoc Networks, 2025 - Elsevier
Abstract Wireless Sensor Network (WSN) is a heterogeneous, distributed network composed
of tiny cognitive, autonomous sensor nodes integrated with processor, sensors, transceivers …
of tiny cognitive, autonomous sensor nodes integrated with processor, sensors, transceivers …
DGTTSSA: Data Gathering Technique Based on Trust and Sparrow Search Algorithm for WSNs
Wireless Sensor Networks (WSNs) have been successfully utilized for developing various
collaborative and intelligent applications that can provide comfortable and smart-economic …
collaborative and intelligent applications that can provide comfortable and smart-economic …
[HTML][HTML] Adaptive Path Planning for Multi-UAV Systems in Dynamic 3D Environments: A Multi-Objective Framework
This study evaluates and compares the computational performance and practical
applicability of advanced path planning algorithms for Unmanned Aerial Vehicles (UAVs) in …
applicability of advanced path planning algorithms for Unmanned Aerial Vehicles (UAVs) in …
Dynamic coefficient symmetric polynomial-based secure key management scheme for Internet of Things (IoT) networks
Z Liu, Y Luo - PeerJ Computer Science, 2023 - peerj.com
Background With the extensive application and continuous expansion of the Internet of
Things (IoT), the access of a large number of resource-limited nodes makes the IoT …
Things (IoT), the access of a large number of resource-limited nodes makes the IoT …