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ENERGY BASED TECHNIQUES FOR ALGORITHMS IN MANETS: A STUDY

Published In: INTERNATIONAL CONFERENCE ON RECENT TRENDS IN COMPUTING AND COMMUNICATION ENGINEERING
Author(s): INDERDEEP KAUR AULAKH , NAVDEEP KAUR

Abstract: Environment created by mobile ad hoc networks (MANETs) emerges as miscellany of wireless nodes which forms a network for a short span without any assistance of centralized infrastructure. As the scenario is not fixed, nodes rely upon battery, which depletes with time. This arise the dilemma of energy as a constraint in MANETs. This paper confers on the approaches configured for minimizing the use of energy in such condition. Various techniques taken into account are transmission power control, load distribution, power management, sleep mode. The ultimate application of natural engineering to combat energy consumption is an addition to such schemes. Further, each area is described by corresponding recent algorithms which tend to portray a clear picture of their usage.

  • Publication Date: 21-Apr-2013
  • DOI: 10.15224/978-981-07-6184-4-39
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CONGESTION MANAGEMENT IN AN ELECTRICITY MARKET USING CATFISH PSO

Published In: INTERNATIONAL CONFERENCE ON RECENT TRENDS IN COMPUTING AND COMMUNICATION ENGINEERING
Author(s): KSHITIJ GAUR , SHASHANK SHEKHAR SINGH , Y. R. SOOD

Abstract: In a deregulated electricity marketcongestion management of the transmission network is an essential task of an Independent System Operator (ISO).A congested transmission network threatens the safe and secure operation of a power system and reduces the competitiveness and efficiency of the electricity market. In this paper, an OPF based congestion management procedure has been discussed and Catfish Particle Swarm Optimization (C-PSO) has been utilized to manage the congestion. The proposed C-PSO based algorithm has been implemented on an IEEE 30-bus system and compared with the basic PSO based algorithm. The results have shown that the C-PSO based congestion management gives better results as compared to PSO based congestion management.

  • Publication Date: 21-Apr-2013
  • DOI: 10.15224/978-981-07-6184-4-40
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