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 …
Recent studies utilizing artificial intelligence techniques for solving data collection, aggregation and dissemination challenges in wireless sensor networks: a review
The growing importance and widespread adoption of Wireless Sensor Network (WSN)
technologies have helped the enhancement of smart environments in numerous sectors …
technologies have helped the enhancement of smart environments in numerous sectors …
Improved artificial bee colony optimization based clustering algorithm for SMART sensor environments
Presently, various real time applications has been developed using smart systems such as
smart cities, smart homes, smart transportation, etc. The use of smart sensors in those …
smart cities, smart homes, smart transportation, etc. The use of smart sensors in those …
Data dissemination in VANETs using clustering and probabilistic forwarding based on adaptive jumping multi-objective firefly optimization
Data dissemination in a VANETs network requires a meticulous process to ensure a high
quality of service and eliminate hazardous conditions due to congestion or a broadcast …
quality of service and eliminate hazardous conditions due to congestion or a broadcast …
Non-linear channel equalization using modified grasshopper optimization algorithm
KK Ingle, RK Jatoth - Applied Soft Computing, 2024 - Elsevier
In this paper, a modified grasshopper optimization algorithm is proposed for equalization of
non-linear wireless communication channels. Even though grasshopper optimisation …
non-linear wireless communication channels. Even though grasshopper optimisation …
Mobile sink-based data gathering in wireless sensor networks with obstacles using artificial intelligence algorithms
Data gathering is the fundamental task of Wireless Sensor Networks (WSNs). Making a
balance between the energy consumption of sensors and the data gathering delay is …
balance between the energy consumption of sensors and the data gathering delay is …
Reinforcement learning-based dynamic routing using mobile sink for data collection in WSNs and IoT applications
M Krishnan, Y Lim - Journal of Network and Computer Applications, 2021 - Elsevier
Energy is one of the most critical resources for sensor devices that decides the network
lifetime of the wireless sensor networks. In many circumstances, sensor devices consume …
lifetime of the wireless sensor networks. In many circumstances, sensor devices consume …
An energy optimized and QoS concerned data gathering protocol for wireless sensor network using variable dimensional PSO
This paper presents a quality of service (QoS) concerned energy efficient data gathering
protocol for wireless sensor network (WSN) by means of a mobile data collector (MDC) …
protocol for wireless sensor network (WSN) by means of a mobile data collector (MDC) …
An optimal mobile sink sojourn location discovery approach for the energy-constrained and delay-sensitive wireless sensor network
Latest studies have exploited sink mobility as a pervasive approach to effectively mitigate
the energy hole problem frequently perceived in the clustered wireless sensor network. For …
the energy hole problem frequently perceived in the clustered wireless sensor network. For …
Multi swarm optimization based clustering with tabu search in wireless sensor network
Wireless Sensor Networks (WSNs) can be defined as a cluster of sensors with a restricted
power supply deployed in a specific area to gather environmental data. One of the most …
power supply deployed in a specific area to gather environmental data. One of the most …