A review of Energy Hole mitigating techniques in multi-hop many to one communication and its significance in IoT oriented Smart City infrastructure
A huge increase in the percentage of the world's urban population poses resource
management, especially energy management challenges in smart cities. In this paper, the …
management, especially energy management challenges in smart cities. In this paper, the …
An energy efficient routing protocol based on improved artificial bee colony algorithm for wireless sensor networks
Z Wang, H Ding, B Li, L Bao, Z Yang - ieee access, 2020 - ieeexplore.ieee.org
Clustering sensor nodes is an effective method in designing routing algorithms for Wireless
Sensor Networks (WSNs), which improves network lifetime and energy efficiency. In …
Sensor Networks (WSNs), which improves network lifetime and energy efficiency. In …
Energy-efficient intelligent routing scheme for IoT-enabled WSNs
Recently, the Internet of Things (IoT) has attracted much interest in its wide applications,
such as smart healthcare, home automation, transportation, and smart city. In these IoT …
such as smart healthcare, home automation, transportation, and smart city. In these IoT …
Energy efficient cluster based routing protocol for WSN using firefly algorithm and ant colony optimization
Z Wang, H Ding, B Li, L Bao, Z Yang, Q Liu - Wireless Personal …, 2022 - Springer
Maximizing network lifetime is the main goal of designing a wireless sensor network.
Clustering and routing can effectively balance network energy consumption and prolong …
Clustering and routing can effectively balance network energy consumption and prolong …
Energy efficient load balancing approach for avoiding energy hole problem in WSN using Grey Wolf Optimizer with novel fitness function
In general architecture of Wireless Sensor Networks (WSNs), gateways far from the Base
Station (BS) communicate with the BS via the gateways close to the BS. The energy of …
Station (BS) communicate with the BS via the gateways close to the BS. The energy of …
Swarm intelligence-based performance optimization for mobile wireless sensor networks: survey, challenges, and future directions
L Cao, Y Cai, Y Yue - IEEE Access, 2019 - ieeexplore.ieee.org
Network performance optimization has always been one of the important research subjects
in mobile wireless sensor networks. With the expansion of the application field of MWSNs …
in mobile wireless sensor networks. With the expansion of the application field of MWSNs …
An energy‐efficient non‐uniform clustering routing protocol based on improved shuffled frog lea** algorithm for wireless sensor networks
Q Huamei, L Chubin, G Yijiahe… - IET …, 2021 - Wiley Online Library
Wireless sensor networks have been used widely in environmental tracking and monitoring.
Nevertheless, WSNs are facing a number of challenges, such as unreasonable cluster head …
Nevertheless, WSNs are facing a number of challenges, such as unreasonable cluster head …
Aggregation Technique Using Dynamic Cross‐Propagation Clustering Algorithm in Wireless Body Sensor Networks
Wireless body sensor networks (WBSNs) are characterized by a large number of battery‐
powered wireless sensor nodes, and the most challenging aspects of WBSNs are sensor …
powered wireless sensor nodes, and the most challenging aspects of WBSNs are sensor …
Fuzzy rule generation using modified PSO for clustering in wireless sensor networks
Clustering is one of the popular methods for improving energy efficiency in wireless sensor
networks. In most of the existing fuzzy approaches, the CHs are selected first, and then …
networks. In most of the existing fuzzy approaches, the CHs are selected first, and then …
Minimization of Energy Consumption for Routing in High‐Density Wireless Sensor Networks Based on Adaptive Elite Ant Colony Optimization
J **ao, C Li, J Zhou - Journal of Sensors, 2021 - Wiley Online Library
High‐density wireless sensor networks (HDWSNs) are usually deployed randomly, and
each node of the network collects data from complex environments. Because the energy of …
each node of the network collects data from complex environments. Because the energy of …