Performance Analysis of Ad-Hoc Networks using Statistic Mechanics
Anil Kumar1, B. I. D. Kumar2

1Anil Kumar, Department of Electronics & Communication, AIEMS, affiliated to Visvesvaraya Technological University, Belagavi (Karnataka), India.

2Dr. Kumar B. I. D., Department of Computer Science & Engineering, AIEMS, affiliated to Visvesvaraya Technological University, Belagavi (Karnataka), India.

Manuscript received on 04 December 2019 | Revised Manuscript received on 12 December 2019 | Manuscript Published on 31 December 2019 | PP: 297-300 | Volume-9 Issue-2S December 2019 | Retrieval Number: B10741292S19/2019©BEIESP | DOI: 10.35940/ijitee.B1074.1292S19

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Abstract: An ad-hoc network is an interconnection of source node and destination node pairs with wireless communication, and it is non-centralized manner, nodes are having self-organizing capabilities. The nodes can move dynamically in such a way that interconnection between nodes vary. The routing mechanism in these networks is in multi-hop manner by taking help of intermediate nodes, these nodes helps in packet flow between source and destination node. Advantage of this type of routing is conservation of energy and efficiently delivers packets. This multi-hop manner of packet transmission introduces blending of various traffic flows, resulting in inter-dependencies between activities of nodes and strong correlations among the nodes. The analysis of ad-hoc networks is complicated task; techniques of the information theory will not yield an accurate analysis. In this work, we use a sub field of statistic mechanics called Totally Asymmetric Simple Exclusion Process and MAC technique for evaluating ad-hoc networks. This helps in evaluating performance parameters such as average delay and throughput of linear ad-hoc network. Finally it has been demonstrated that TASEP can improve the performance parameter such as end to end delay and throughput.

Keywords: Ad-hoc Networks, Random Time Division Multiplexing, Totally Asymmetric Simple Exclusion Process.
Scope of the Article: Adhoc and Sensor Networks