Performance enhancement of IEEE 802.11 DCF using novel backoff algorithm

Kuo, Chao-Yu; Huang, Yi‐Hung; Lin, Kuan‐Cheng

doi:10.1186/1687-1499-2012-274

Cited by 9 publications

(4 citation statements)

References 11 publications

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“…By this it increases the delivery ratio of the data packets significantly and total end-to-end delay of packets. It's normal , since the value of cw is bounded, the algorithm prevents the selection of small backoff values ( min value =value of last cw when failure of transmission occurs cwf) contrary to the BEB algorithm which will allow the selection of ,backoff value which ranges between( 0 ,cw-1) [26] proposed Binomial BackOff Algorithm (BiBA), is introduced. It assumes nodes under saturated condition, error free channel and no hidden terminal.…”

Section: Pessimistic Linear Exponential Backoff (Pleb)mentioning

confidence: 99%

An Insight of Backoff Algorithms in Wireless Networks

Sarada*,

Damodaram*

2019

IJITEE

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The IEEE 802.11 MAC is liable for the scheme of channel accessing. It decides the performance of the WLAN and DCF is the central strategy. Stations that need to get to the divert may partake in a disseminated manner by means of CSMA/CA in the MAC layer. Packet collision can’t be totally avoided because of the nodes which are in scattered manner. MAC layer uses a BEB scheme for CA (collision avoidance).. Nodes are experiencing a collision in common channel in IEEE 802.11 and must have to backoff for a arbitrary time and selected consistently from CW. The contention window is maintained dynamically by BO algorithms. Network performance is decreased due to a sudden change in window size. Different existing algorithms for backoff and comparision among the algorithms are shown in the manuscript.

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Section: Pessimistic Linear Exponential Backoff (Pleb)mentioning

confidence: 99%

An Insight of Backoff Algorithms in Wireless Networks

Sarada*,

Damodaram*

2019

IJITEE

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“…The CRC value helps to verify the backoff value and also to minimize the overhead of the hash function in (2). After, the CRC value generated, the equation in (2) shows how to calculate the hash value. In this case if the hash value is h, hash function uses the output of a deterministic function "f" which is shown in equation 3.…”

Section: B Verifiable Deterministic Backoff Value Generationmentioning

confidence: 99%

Resilient misbehaviour detection MAC protocol (MD-MAC) for distributed wireless networks

Alocious

Xiao

Christianson

2016

2016 IEEE Wireless Communications and Networking Conference

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Wireless network security requirements are becoming more important and critical. The modern network security architectures require more attention to provide security in each network layer. This will require understanding of protocol vulnerabilities in existing protocol architectures. However, providing security requirements are not just limited to confidentiality and integrity, also availability and fairness are important security elements. IEEE 802.11 MAC protocol is one of the most common standard in modern day networks and has been designed without a consideration for providing security protection at MAC layer. IEEE 802.11 assumes all the nodes in the network are cooperative. However, nodes may purposefully misbehave in order to obtain extra bandwidth, conserve resources and disrupt network performance. This research proposes a Misbehaviour Detection MAC protocol (MD-MAC) to address the problematic scenarios of MAC layer misbehaviours, which takes a novel approach to detect misbehaviours in Mobile Adhoc Networks (MANETs). The MD-MAC modifies the CSMA/CA protocol message exchange and uses verifiable backoff value generation mechanism with an incorporated trust model which is suitable for distributed networks. The MD-MAC protocol has been implemented and evaluated in ns2, simulation results suggest that the protocol is able to detect misbehaving wireless nodes in a distributed network environment.

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“…Due to dissemination of wireless bandwidth among ad hoc nodules, MAC processes may rely on IEEE 802.11 DCF access contrivance [4].The disputation contrivance of the IEEE 802.11 is a frail variation contrivance of contention window (CW) and has numerous problems to be enhanced. There are humble and adaptive systems to augment the disputation contrivance of IEEE 802.11, but they do not revenue ideal presentation [5]. Because of the backoff phase contrivance, nodules in a network are frequent in diverse backoff phases, which persuade huge disparities in designated backoff counters and reasons little temporary justice [6].…”

Section: Introductionmentioning

confidence: 99%

Optimized Adaptive Back off Algorithm for Static and Mobile Wireless Ad hoc Networks

Kamali*,

kumar

2020

IJRTE

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In wireless ad hoc networks with stationary and portable nodules situation, planning a backoff procedure is decisive to evade impact and to increase the act of nodules. Majority of the Medium Access Control (MAC) etiquettes intended for ad hoc networks take up stationary nodules situation. In this paper, an Optimized Adaptive Backoff Algorithm (OABA) is proposed for static and mobile wireless ad hoc networks. In this algorithm, during the back off stage, the type of node is determined as static or mobile. For mobile nodes, their residence time is determined in addition to their priority.Then optimized adaptive backoff algorithm is applied, by checking the type of node. Simulation results have shown that OABA achieves higher delivery ratio with minimized delay, packet drop and energy consumption.

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Performance enhancement of IEEE 802.11 DCF using novel backoff algorithm

Cited by 9 publications

References 11 publications

An Insight of Backoff Algorithms in Wireless Networks

An Insight of Backoff Algorithms in Wireless Networks

Resilient misbehaviour detection MAC protocol (MD-MAC) for distributed wireless networks

Optimized Adaptive Back off Algorithm for Static and Mobile Wireless Ad hoc Networks

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