Boltzmann Machine Algorithm based Learning of OLSR Protocol: An Energy Efficient Approach
نویسندگان
چکیده
In this paper, a proposal for OLSR protocol based upon Boltzmann learning algorithm is made. The main focus is to tune OLSR by using Boltzmann learning algorithm. The proposed work deals with the standardized OLSR routing protocol, to make it more reliable, more energy efficient and more adaptable to the rapidly changing network topology and infrastructure. This article therefore provides a simple mechanism for dynamic adoption of mobile nodes based on Boltzmann learning algorithm with OLSR. Then the paper provides a mathematical proof how Boltzmann Learning can be used in MANETs using OLSR.
منابع مشابه
A New Method to Reduce Energy Consumption in Manet Network Routing based on OLSR Protocol and Genetic Algorithm
Mobile Ad Hoc Networks (MANET) can be considered as a class of unstructured networks created by a number of autonomous wireless and sensor nodes. The inherent characteristics of such networks have made specific applications, such as multimedia transfer and challenging. Basically, the functionality of a node and very few resources directly affect the delivery of packets which depends on the ...
متن کاملA New Method to Reduce Energy Consumption in Manet Network Routing based on OLSR Protocol and Genetic Algorithm
Mobile Ad Hoc Networks (MANET) can be considered as a class of unstructured networks created by a number of autonomous wireless and sensor nodes. The inherent characteristics of such networks have made specific applications, such as multimedia transfer and challenging. Basically, the functionality of a node and very few resources directly affect the delivery of packets which depends on the ...
متن کاملImproving Quality of Service Routing in Mobile Ad Hoc Networks Using OLSR
Mobile ad hoc networks (MANET) are constructed by mobile nodes without access point. Since MANET has certain constraints, including power shortages, an unstable wireless environment and node mobility, more power-efficient and reliable routing protocols are needed. The OLSR protocol is an optimization of the classical link state algorithm. OLSR introduces an interesting concept, the multipoint r...
متن کاملA Hybrid Algorithm based on Deep Learning and Restricted Boltzmann Machine for Car Semantic Segmentation from Unmanned Aerial Vehicles (UAVs)-based Thermal Infrared Images
Nowadays, ground vehicle monitoring (GVM) is one of the areas of application in the intelligent traffic control system using image processing methods. In this context, the use of unmanned aerial vehicles based on thermal infrared (UAV-TIR) images is one of the optimal options for GVM due to the suitable spatial resolution, cost-effective and low volume of images. The methods that have been prop...
متن کاملActor-Critic Reinforcement Learning with Energy-Based Policies
We consider reinforcement learning in Markov decision processes with high dimensional state and action spaces. We parametrize policies using energy-based models (particularly restricted Boltzmann machines), and train them using policy gradient learning. Our approach builds upon Sallans and Hinton (2004), who parameterized value functions using energy-based models, trained using a non-linear var...
متن کامل