DocumentCode :
146485
Title :
Enhanced swarm intelligence-based scheduler to improve QoS for MANETs
Author :
Sharma, Parmanand ; Kumar, Ravindra
Author_Institution :
CSA, Thapar Univ., Patiala, India
fYear :
2014
fDate :
25-26 Sept. 2014
Firstpage :
340
Lastpage :
346
Abstract :
The collection of wireless mobile nodes is called Mobile Ad-Hoc Network (MANET) that makes a momentary network not using any centralized access points or centralized administration. For an efficient network formation, mobile nodes should be capable enough to utilize the available query resources. This can be achieved using process of queue scheduling. Scheduling is a way by which multiple threads and processes get access to system resources. Scheduling algorithms improves the quality by allocation of packets to queues. The routing is the movement of data and information over the internet from source to sink. Thus main goal here is to calculate the optimized path from source to destination for sending data. In this paper we used swarm intelligence to find the optimal path for flow of data and information. For scheduling the packets a scheduling algorithm based on weights is proposed.
Keywords :
mobile ad hoc networks; quality of service; swarm intelligence; Internet; MANET; QoS improvement; mobile ad-hoc network; momentary network; query resources; queue scheduling; swarm intelligence-based scheduler enhancement; wireless mobile nodes; Ad hoc networks; Algorithm design and analysis; Mobile computing; Protocols; Quality of service; Routing; Scheduling algorithms; Ant Colony Optimization (ACO); Bee Colony optimization (BCO); Swarm Intelligence; Weighted Fair Queue;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Confluence The Next Generation Information Technology Summit (Confluence), 2014 5th International Conference -
Conference_Location :
Noida
Print_ISBN :
978-1-4799-4237-4
Type :
conf
DOI :
10.1109/CONFLUENCE.2014.6949267
Filename :
6949267
Link To Document :
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