V. Subburaj ¹, K. Chitra ²

Affiliations
1 Department of MCA,Thiagarajar School of Management, Madurai, Tamilnadu,, IN
2 Department of Computer Science, Government Arts College, Melur, Sivagangai Dist, Tamilnadu, IN

Abstract

The concept of peer to peer mobile networks reflects on tactical network. This approach helps mobile nodes to scatter anywhere in the network and it also provide additional support for the MANET in terms of data distribution. This paper provides the result of such approach in terms of network cluster formation with secure node proximity within the boundary. This proximity paradigm will enhance the performance of network by avoid wide scattering of mobile nodes beyond the networks zone. The results shown in this paper were the work done in ns2 mobility package. The result also incorporates AODV routing protocol with IEEE 802.11 MAC for wireless network to improve network performance using mobile node proximity in conjunction with the previous work indicating the network performance degradation with these configuration. To device proximity among mobile nodes were done along with secure mechanism, such that every nodes data transmission was done only on the basis of IDS implementation with PSO fitness value. This will invoke security for every data transmission done on this network. This work has significant effect by improving network performance by 50%.

Keywords

Multi Hop Cellular Network, Mobile Node Proximity, Tactical Mobile Network

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S. Meena ¹, K. Chitra ²

Affiliations
1 Department of Electronics and Control, Sathyabama University, Chennai - 600119, Tamil Nadu, IN
2 Department of Electronics and Communication Engineering, VIT University, Chennai - 600127, Tamil Nadu, IN

Abstract

Background/Objectives: When conventional PI controllers are used to control non linear processes, the controllers must be tuned very conservatively in order to provide stable behavior over the range of operating conditions. The conservative controller tuning can result in serious degradation of control system performance. Therefore it is necessary to go for optimizing techniques. Methods/Statistical Analysis: In this paper a modified approach of firefly algorithm is compared with the firefly algorithm. The modified approach is derived from the impact of the tuning parameters over the objective function peak overshoot. This modified approach using firefly algorithm is validated through simulation results. The transfer functions employed here are stable second order system, second order with inverse response and higher order systems, particularly non minimum phase systems. Findings: For the stable second order systems and for the higher order non minimum phase systems the modified approach based on firefly algorithm outperforms the existing firefly algorithm. The modified approach not only reduces the considered objective functions such as PO, ITAE but also the other functions such as ITAE and settling time. Application/Improvements: The modified approach can also be extended for unstable systems. The modified approach is discussed with third order systems here. However it can be extended for still higher order systems.

Keywords

Firefly Algorithm, Non-Minimum Phase Systems, PID Controller Tuning, Peak Overshoot Reduction

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