A survey of network lifetime maximization techniques in wireless sensor networks
Emerging technologies, such as the Internet of Things, smart applications, smart grids, and
machine-to-machine networks stimulate the deployment of autonomous, self-configuring …
machine-to-machine networks stimulate the deployment of autonomous, self-configuring …
Energy-efficient routing in wireless sensor networks: a meta-heuristic and artificial intelligence-based approach: a comprehensive review
R Priyadarshi - Archives of Computational Methods in Engineering, 2024 - Springer
Abstract Artificial Intelligence (AI) realizes Wireless Sensor Networks (WSNs) as a dynamic
environment of battery-powered sensor nodes. These nodes are carefully built to monitor …
environment of battery-powered sensor nodes. These nodes are carefully built to monitor …
Adaptive multimodal continuous ant colony optimization
Seeking multiple optima simultaneously, which multimodal optimization aims at, has
attracted increasing attention but remains challenging. Taking advantage of ant colony …
attracted increasing attention but remains challenging. Taking advantage of ant colony …
FAJIT: a fuzzy-based data aggregation technique for energy efficiency in wireless sensor network
Wireless sensor network (WSN) is used to sense the environment, collect the data, and
further transmit it to the base station (BS) for analysis. A synchronized tree-based approach …
further transmit it to the base station (BS) for analysis. A synchronized tree-based approach …
Multiple populations for multiple objectives: A coevolutionary technique for solving multiobjective optimization problems
Traditional multiobjective evolutionary algorithms (MOEAs) consider multiple objectives as a
whole when solving multiobjective optimization problems (MOPs). However, this …
whole when solving multiobjective optimization problems (MOPs). However, this …
[PDF][PDF] Optimal Sink Node Placement in Large Scale Wireless Sensor Networks Based on Harris' Hawk Optimization Algorithm.
Large-scale wireless sensor network (LSWSN) is composed of a huge number of sensor
nodes that are distributed in some region of interest (ROI), to sense and measure the …
nodes that are distributed in some region of interest (ROI), to sense and measure the …
Artificial intelligence-based techniques for emerging heterogeneous network: State of the arts, opportunities, and challenges
Recently, mobile networking systems have been designed with more complexity of
infrastructure and higher diversity of associated devices and resources, as well as more …
infrastructure and higher diversity of associated devices and resources, as well as more …
ACO-based mobile sink path determination for wireless sensor networks under non-uniform data constraints
In wireless sensor networks, a mobile sink is used to collect data from sensors by traversing
the network periodically to prevent hotspot or energy-hole problem. In order to avoid the …
the network periodically to prevent hotspot or energy-hole problem. In order to avoid the …
Multi-objective fractional gravitational search algorithm for energy efficient routing in IoT
Abstract Nowadays, the Internet of Things (IoT) plays a significant role in the Internet world.
The IoT is a system which integrates the computing devices, digital machines provided with …
The IoT is a system which integrates the computing devices, digital machines provided with …