Abstract

Recently the paradigm of achieving fairness in MANETs has become a significant issue in networks field. Researchers have been studying methods and proposing algorithms to maintain the best performance of the network as well as achieving fairness in utilizing resources. In MANETs nodes require fairness of accessibility to channel, bandwidth limit, quality of service, etc. many models were proposed in fairness management process to guarantee the allocation and utility fairly between nodes at the same time achieve the best output and performance as well as optimizing the power consumption and network resources. This paper aims at exploring these models and algorithms and focus on the way that fairness is defined, since there is no specific definition for fairness that all researchers agree on. Also this paper compares between the experiments and studies done in this field and evaluate the level they could improve and enhance in MANETs performance in terms of fairness.

Highlights

  • The continuous development and emergence of the internet services forced the communication395 FAIRNESS BASED ON BACKOFF ALGORITHMS sector and networks to grow rapidly in order to meet the emerging demands of users

  • In which the researchers focused on topics of fairness in networks and MANETs and how to modify backoff algorithms to experiment the effect of backoff in achieving fairness and better throughput of the network

  • Most of the studies surveyed in this paper, have searched the fairness issue in network and how to enhance it, mainly concentrating on these parameters: Contention window (Min and Max values), backoff delay time, packet size, Area of network, speed, density (Traffic load), transmit energy

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Summary

Introduction

The continuous development and emergence of the internet services forced the communication395 FAIRNESS BASED ON BACKOFF ALGORITHMS sector and networks to grow rapidly in order to meet the emerging demands of users. MANETs suffers the denial of service attacks, since it is an infrastructure less nature, it suffers the flooding attacks too, these attacks can be achieved using the per flow management, which affects the security of the Network In this case the aggregation must be performed to keep the network secure, which leads to less fairness, again which affect the quality and success delivery of data, the Traditional BEB couldn’t solve the problem of fairness since the BEB choses the winner node of the contention and give it the priority over other nodes [21][27]. In which the researchers focused on topics of fairness in networks and MANETs and how to modify backoff algorithms to experiment the effect of backoff in achieving fairness and better throughput of the network

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