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Koteswararao, S.
- Multi-Hop Cluster Based Routing Protocol for Wireless Sensor Networks
Abstract Views :161 |
PDF Views:3
Authors
Affiliations
1 ECE Department, Regency Institute of Technology, Yanam, IN
2 ECE Department, Jawaharlal Nehru Technological University, Kakinada, IN
1 ECE Department, Regency Institute of Technology, Yanam, IN
2 ECE Department, Jawaharlal Nehru Technological University, Kakinada, IN
Source
Wireless Communication, Vol 4, No 5 (2012), Pagination: 269-273Abstract
A novel approach for prolonging the lifetime of a wireless sensor network using clustering routing protocol while maintaining desired quality of service attributes related to sensed data delivery is presented. This paper proposes a Multi-hop Cluster based Routing Protocol for long range transmission in wireless sensor network. The protocol consists of two parts, one is with respect to cluster management in sensor area and the other is about the data transmission between base station and the sensor area. The new clustering and routing algorithm's scale well and converge fast for large scale dynamic sensors as shown by our extensive results using the Network Simulator (NS2). It is a flexible tool for network engineers to vestigate how various protocols perform with different Configurations and topologies. Simulation results shows that the proposed protocol offers a better performance than single-hop clustering routing protocols in terms of network lifetime and energy consumption when the base station is located far away from the sensing area.Keywords
Wireless Sensor Networks, Gateway Node, Energy Efficient, Cluster Head, Multi-Hop Clustering.- Evaluation of Maximum Entropy Method of Spectrum Estimation
Abstract Views :138 |
PDF Views:3
Authors
Affiliations
1 Dept of EEE in Vignan’s Institute of Information Technology, Vishakhapatnam, IN
2 Dept of EEE in S.V.University, Tirupati, IN
3 Dept.of EEE in Vignan’s Institute of Information Technology, Visakhapatnam, IN
4 Dept. of ECE in GVP College of Engg, Visakhapatnam, IN
1 Dept of EEE in Vignan’s Institute of Information Technology, Vishakhapatnam, IN
2 Dept of EEE in S.V.University, Tirupati, IN
3 Dept.of EEE in Vignan’s Institute of Information Technology, Visakhapatnam, IN
4 Dept. of ECE in GVP College of Engg, Visakhapatnam, IN
Source
Digital Signal Processing, Vol 5, No 11 (2013), Pagination: 374-379Abstract
The parametric models AR/MA/ARMA are sometimes not capable in finding out the power spectral densities of random sequences. Under such circumstances the non-parametric methods outperform the parametric ones because of the sensitivity of the latter to model specifications. The Maximum Entropy Method (MEM) is regarded as the Non-parametric method of spectral estimation, it suggests one possible way of extrapolating the autocorrelation sequence so that a more accurate estimate of the spectrum can be obtained with better resolution. This paper investigates the work of realizing MEM and evaluating it's performance with Minimum Variance (MV) method and classical methods.
Keywords
Minimum Variance Method, Maximum Entropy Method, Monte-carlo Simulation, Non-parametric Methods, Random Process, Spectrum Estimation.- Application of MUSIC Algorithm to Power Quality Analysis:Detecting Inter Harmonic Components
Abstract Views :152 |
PDF Views:3
Authors
Affiliations
1 Dept of EEE in Vignan’s Institute of Information Technology, Vishakhapatnam, IN
2 Dept of EEE in S.V. University, Tirupati, IN
3 Dept.of EEE in Vignan’s Institute of Information Technology, Visakhapatnam, IN
1 Dept of EEE in Vignan’s Institute of Information Technology, Vishakhapatnam, IN
2 Dept of EEE in S.V. University, Tirupati, IN
3 Dept.of EEE in Vignan’s Institute of Information Technology, Visakhapatnam, IN