Research Article Open Access

A Dynamic Approach for Rate Adaptation in Mobile Adhoc Networks

Palaniammal Senniappan1 and Suganya Subramaniam2
  • 1 Department of Science and Humanities, Sri Krishna College of Technology, Coimbatore, India
  • 2 Department of Computer Applications, TamilNadu College of Engineering, Coimbatore, India

Abstract

A Mobile Ad hoc Network (MANET) is a collection of mobile nodes with no fixed infrastructure. The absence of central authorization facility in dynamic and distributed environment affects the optimal utilization of resources like, throughput, power and bandwidth. Rate adaptation is the key technique to optimize the resource throughput. Some recently proposed rate adaptations use Request to Send/Clear to Send (RTS/CTS) to suppress the collision effect by differentiating collisions from channel errors. This study presents a methodology to detect the misbehavior of nodes in MANET and proposed the new dynamic algorithm for rate adaptation which in turn can improve the throughput. The proposed approach is implemented in the distributed stipulating architecture with core and access routers. This method does not require additional probing overhead incurred by RTS/CTS exchanges and may be practically deployed without change in firmware. The collision and channel error occurrence will be detected by core router and intimated to the access router to choose alternate route and retain the current rate for transmission. The extensive simulation results demonstrate the effectiveness of proposed method by comparing with existing approaches.

American Journal of Applied Sciences
Volume 10 No. 6, 2013, 596-605

DOI: https://doi.org/10.3844/ajassp.2013.596.605

Submitted On: 1 August 2012 Published On: 8 June 2013

How to Cite: Senniappan, P. & Subramaniam, S. (2013). A Dynamic Approach for Rate Adaptation in Mobile Adhoc Networks. American Journal of Applied Sciences, 10(6), 596-605. https://doi.org/10.3844/ajassp.2013.596.605

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Keywords

  • Channel Error
  • Collision Control Mechanism
  • Distributed Architecture
  • Resource Optimization