A SURVEY ON TRUSTED AGENT-BASED ON-DEMAND ROUTING PROTOCOL IN MANET
Published In: INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING, COMMUNICATION AND NETWORKS
Author(s): PREETI BHATI , RINKI CHAUHAN
Abstract: Ad-hoc wireless networks are selforganising, infrastructure less networks characterized by dynamic topology, limited channel bandwidth and limited battery power at the nodes. The nodes communicate with each other through radio links in multihop specified routing protocols. The concept of agent is introduced in MANET to reduce the load on node .The routing performance in Mobile Ad-hoc Networks (MANETs) relies on the cooperation of the individual nodes that constitute the network. The existence of misbehaving nodes may paralyze the routing operation in MANET. To overcome this behavior, the trustworthiness of the network nodes should be considered in the route selection process combined with the hop count. The trustworthiness is achieved by measuring the trust value for each node in the network. In this paper we have considered trusted agent based routing mechanism in two reactive protocols and presented the analysis of trusted agent in the extensions of Adhoc on Demand Distance
- Publication Date: 03-Jun-2011
- DOI: 10.15224/978-981-07-1847-3-1027
- Views: 0
- Downloads: 0
ARTIFICIAL NEURAL NETWORK BASED HARMONIC OPTIMIZATION OF MULTILEVEL INVERTER TO REDUCE THD
Published In: 1ST INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTER, ELECTRONICS AND ELECTRICAL ENGINEERING
Author(s): MITALI SHRIVASTAVA , SWAPNAJIT PATTNAIK , VARSHA SINGH
Abstract: A novel concept of application of Artificial Neural Networks (ANN) for estimating the optimum switching angles for the voltage and harmonic control of cascaded multilevel inverters is presented. In this paper, the neural network is trained off line using the desired switching angles given by the classic harmonic elimination strategy to any value of the modulation index. After training the proposed ANN system, a large and memory-demanding look-up table is replaced with trained neural network to generate the optimum switching angles with lowest Total Harmonic Distortion (THD) for a given modulation index. This technique can be applied to multilevel inverters with any number of levels. As an example, a seven-level and eleven-level inverter is considered and the optimum switching angles are calculated, in order to eliminate the odd harmonics and to reduce THD. The ANN control algorithm is to be implemented using m-file program. Theoretical concepts have been validated in simulation results
- Publication Date: 12-Mar-2012
- DOI: 10.15224/978-981-07-1847-3-725
- Views: 0
- Downloads: 0