Results 31 to 40 of about 554 (176)

Energy and throughput efficient mobile wireless sensor networks: A deep reinforcement learning approach

open access: yesIET Networks
The efficient development of Mobile Wireless Sensor Networks (MWSNs) relies heavily on optimizing two key parameters: Throughput and Energy Consumption.
N. Alsalmi, K. Navaie, H. Rahmani
doaj   +1 more source

Fish eye OLSR scaling properties [PDF]

open access: yesJournal of Communications and Networks, 2004
Scalability is one of the toughest challenges in ad hoc networking. Recent work outlines theoretical bounds on how well routing protocols could scale in this environment. However, none of the popular routing solutions really scales to large networks, by coming close enough to these bounds. In this paper, we study the case of link state routing and OLSR,
Adjih, Cédric   +4 more
openaire   +3 more sources

HMC‐DSR: An FPGA‐Accelerated Clustered Routing Protocol for Scalable and Energy‐Efficient MANETs

open access: yesEngineering Reports, Volume 8, Issue 4, April 2026.
FPGA‐based HMC‐DSR protocol enhances MANET routing with real‐time, energy‐efficient processing, reducing end‐to‐end delay by 20.7%. Power consumption decreased by 15.8%, making it ideal for energy‐constrained systems. Hardware resource optimization achieved a 31.2% reduction in flip‐flops and 27.4% in slice utilization. Throughput improvement of 19.4%,
Arvind Kumar   +3 more
wiley   +1 more source

Distributed MA‐IDDPG‐OLSR based stable routing protocol for unmanned aerial vehicle ad‐hoc network

open access: yesIET Communications
In unmanned aerial vehicle ad‐hoc network (UANET), the node speed of unmanned aerial vehicles (UAVs) may reach up to 400 km/h. The fast or slow movement of UAV nodes leads to different speeds of topology change of the nodes.
Youjun Zeng   +6 more
doaj   +1 more source

Estimating Plant Species Richness With Sentinel and Landsat Data Across Ecosystems in China

open access: yesEcology and Evolution, Volume 16, Issue 3, March 2026.
438 field plots were used to estimate plant diversity across ecosystems; 18 spectral indices were derived from Sentinel and Landsat data; EVI, DVI, PSRI, NDVI, PRI, GNDVI, and GMEVI were identified as powerful indicators for predicting plant alpha diversity.
Keman Wang   +4 more
wiley   +1 more source

Cross-Layer Optimized OLSR Protocol for FANETs in Interference-Intensive Environments

open access: yesDrones
The conventional OLSR protocol faces substantial challenges in highly dynamic and interference-intensive UAV environments, including high mobility, frequent topology changes, and insufficient adaptability to electromagnetic interference.
Jinyue Liu   +4 more
doaj   +1 more source

Analysis of Node Router Performance with Babel and OLSR Protocol on MANET in Disaster Area

open access: yesJurnal Jaringan Telekomunikasi, 2023
Natural disasters are events caused by nature, including earthquakes, tsunamis, volcanic eruptions, droughts, hurricanes, and landslides. Natural disasters can cause telecommunications infrastructure to become damaged or malfunction.
Kelfin Agung Satriawan   +2 more
doaj  

New Multipath OLSR Protocol Version for Heterogeneous Ad Hoc Networks

open access: yesJournal of Sensor and Actuator Networks, 2021
From a basic refrigerator to a self-driving car, emerging technologies are increasingly involving various facets of our daily lives. These bring together many regularly used devices, each with its own characteristics, to communicate and collaborate ...
Chaimae Benjbara   +2 more
doaj   +1 more source

A-OLSR: ANFIS based OLSR to select Multi point relay

open access: yesInternational Journal of Electrical and Computer Engineering (IJECE), 2019
<span lang="EN-IN">The characteristics like dynamic topology, power consumption, mobility etc. may leads to affect the routing process of packet as it progresses from one node to another node. The energy of each node is very limited in MANET’s due to which it becomes an important parameter to be considered while selecting the route.
Sharma, Vivek   +2 more
openaire   +3 more sources

Smart Agriculture Through Internet of Things and Machine Learning: A Survey of Monitoring Techniques, Methods and Applications

open access: yesIET Wireless Sensor Systems, Volume 16, Issue 1, January/December 2026.
This article surveys the integration of the Internet of things (IoT) and machine learning (ML) in agricultural monitoring, highlighting their role in data collection, analysis and decision‐making for smart farming. It reviews application domains, data collection strategies, network architectures and learning methods whilst identifying key challenges ...
Ado Adamou Abba Ari   +5 more
wiley   +1 more source

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