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Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques
Predicting stock market index using fusion of machine learning techniques
Cluster Head Election for Energy and Delay Constraint Applications of Wireless Sensor Network
A routing algorithm is proposed by introducing Energy Delay Index for Trade-off (EDIT) to optimize both objectives-energy and delay to keep the network alive as long as possible.
Performance of Vehicle-to-Vehicle Communication using IEEE 802.11p in Vehicular Ad-hoc Network Environment
The realtime properties of STDMA are investigated by means of the highway road simulation scenario, with promising results, to use STDMA for real -time data traffic between vehicles.
An Algorithm for Global Optimization using the Taylor–Bernstein Form as Inclusion Function
The results of these preliminary tests indicate that the proposed algorithm with the improved TB form as inclusion function is quite effective for low to medium dimension problems studied.
Multi objective genetic algorithm based adaptive QoS routing in MANET
MultiObjective Genetic algorithm is applied to optimize four QoS parameters bandwidth constraints, delay, traffic from adjacent nodes, and number of hops, and to provide adaptive route in MANET to show that GA based approach is better than traditional method.
Scheduling Algorithm for Real-Time Operating Systems Using ACO
A ACO based scheduling algorithm for real-time operating systems (RTOS) has been proposed and it has been observed that the proposed algorithm is equally optimal during under loaded conditions and it performs better during overloaded conditions.
A new Bollinger Band based energy efficient routing for clustered wireless sensor network
Adaptive scheduling algorithm for real-time operating system
- K. Kotecha, Apurva Shah
- Computer Science, BusinessIEEE Congress on Evolutionary Computation (IEEE…
- 1 June 2008
An adaptive scheduling algorithm is proposed which is combination of ACO (Ant Colony Optimization) based scheduling algorithm and EDF algorithm and is fast as well as very efficient in both underloaded and overloaded conditions.
Alive Nodes Based Improved Low Energy Adaptive Clustering Hierarchy for Wireless Sensor Network
Simulation results show that AL-LEACH improves the network life time and number of packets received by Base Station (BS) through balanced energy consumption of the network.