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 …
Optimizing energy consumption in WSN-based IoT using unequal clustering and sleep scheduling methods
Abstract Wireless Sensor Networks (WSNs) are the main data collection tools used by
Internet of Things (IoT) devices. The WSN-based IoT is a collection of several small …
Internet of Things (IoT) devices. The WSN-based IoT is a collection of several small …
[PDF][PDF] A clustering approach based on fuzzy C-means in wireless sensor networks for IoT applications
AMK Abdulzahra, AKM Al-Qurabat - Karbala International Journal of Modern …, 2022 - iasj.net
Abstract Sensor nodes in Wireless Sensor Network (WSN)-based Internet of Things (IoT)
networks are often battery-powered, resulting in supplying relatively low energy. Energy …
networks are often battery-powered, resulting in supplying relatively low energy. Energy …
DEKCS: A dynamic clustering protocol to prolong underwater sensor networks
Energy consumption is a critical issue in the design of wireless underwater sensor networks
(WUSNs). Data transfer in the harsh underwater channel requires higher transmission …
(WUSNs). Data transfer in the harsh underwater channel requires higher transmission …
A multi-step time-series clustering-based Seq2Seq LSTM learning for a single household electricity load forecasting
The deep learning (DL) approaches in smart grid (SG) describes the possibility of shifting
the energy industry into a modern era of reliable and sustainable energy networks. This …
the energy industry into a modern era of reliable and sustainable energy networks. This …
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 …
Energy efficient grid based k‐means clustering algorithm for large scale wireless sensor networks
Hierarchical based routing is a kind of group‐based routing that consists in creating of a
virtual hierarchy among network sensor nodes. This class of routing technique is generally …
virtual hierarchy among network sensor nodes. This class of routing technique is generally …
Design and validation of lifetime extension low latency MAC protocol (LELLMAC) for wireless sensor networks using a hybrid algorithm
As the battery-operated power source of wireless sensor networks, energy consumption is a
major concern. The medium-access protocol design solves the energy usage of sensor …
major concern. The medium-access protocol design solves the energy usage of sensor …
An energy-efficient clustering protocol for the lifetime elongation of wireless sensors in iot networks
AMK Abdulzahra, AKM Al-Qurabat - IT Applications for Sustainable Living, 2023 - Springer
The efficient use of energy is a crucial difficulty that must be addressed when constructing a
wireless sensor network (WSN)-based Internet of Things. Thousands of battery-powered tiny …
wireless sensor network (WSN)-based Internet of Things. Thousands of battery-powered tiny …
Enhancing QoS and residual energy by using of grid-size clustering, K-means, and TSP algorithms with MDC in LEACH protocol
Some recent researches have shown that the energy consumption problem caused by data
collection in a wireless sensor network (WSN) based on a static data collector is a main …
collection in a wireless sensor network (WSN) based on a static data collector is a main …