ECDC: Energy Efficient Cross Layered Congestion Detection and Control Routing Protocol
K. Srinivas1, A. A. Chari2

1Prof.K.Srinivas, Dept of Computer Science KCE, Kurnool, India.
2Dr. A.A.Chari, Director (Research studies), Rayalaseema University, Kurnool, India.

Manuscript received on April 11, 2012. | Revised Manuscript received on April 14, 2012. | Manuscript published on May 05, 2012. | PP: 316-322 | Volume-2 Issue-2, May 2012 . | Retrieval Number: B0611042212/2012©BEIESP
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Abstract: Here in this paper A MAC layer level congestion detection mechanism has been proposed. The proposed model aims to deliver an energy efficient mechanism to quantify the degree of congestion at victim node with maximal accuracy. This congestion detection mechanism is integrated with a Two-Step Cross Layer Congestion Control Routing Protocol. The proposed model involves controlling of congestion in two steps with effective energy efficient congestion detection and optimal utilization of resources. Packet loss in network routing is primarily due to link failure and congestion. Most of the existing congestion control solutions do not possess the ability to distinguish between packet loss due to link failure and packet loss due to congestion. As a result these solutions aim towards action against packet drop due to link failure which is an unnecessary effort and may result in loss of resources. The other limit in most of the existing solutions is the utilization of energy and resources to detect congestion state, degree of congestion and alert the source node about congestion in routing path. Here in this paper we propose cross layered model of congestion detection an control mechanism that includes energy efficient congestion detection, Zone level Congestion Evaluation Algorithm [ZCEA] and Zone level Egress Regularization Algorithm [ZERA], which is a hierarchical cross layer based congestion detection and control model in short we refer this protocol as ECDC(Energy Efficient Congestion Detection and Control). This paper is supported by the experimental and simulation results show that better resource utilization, energy efficiency in congestion detection and congestion control is possible by the proposed protocol.

Keywords: Ad-hoc networks, cross-layer design, optimization, random access, wireless networks.