DISTRIBUTED CHANNEL MANAGEMENT SYSTEM

ABSTRACT
Wireless hotspots are typically implemented using 802.11 APs. Each AP typically operates on a single, administrator-configured wireless channel. Each client associates with a single AP and subsequently interacts with this AP alone, on the AP’s configured channel. As a basic design rule, APs within radio frequency (RF) range of each other are set to different ‘non-overlapping’ channels. Proper assignment of channels to APs is important so that the network can take full advantage of the total wireless bandwidth offered by the multiple channels. Channel Assignment Approaches. Most APs are initialized for their channel of operation through manual input. This is inefficient as it is based on human judgment of which channel is the best. Apart from this, some AP vendors implement a simple distributed method commonly called the least congested channel search (LCCS) algorithm [9]. In LCCS, upon initialization, the AP scans and selects the channel that offers the least amount of congestion, for example, the channel on which there was least amount of traffic belonging to other APs and clients. Since in LCCS, APs perform a scan without involving client feedback, it is possible that two APs might not detect each other and utilize the same channel. As a result, it is possible for clients to be positioned unfavorably so as to suffer considerable interference as a hidden terminal. Figure 2(a) shows this problem. It is possible to mitigate such interference through client feedback, as shown by the (centralized) CFAssign algorithm [4] shows that client feedback in finding interfering APs can mitigate this problem. In Section 6.3, we explore a variant of our channel-hopping technique that is uses such client feedback to detect and mitigate effects of such ‘hidden Aps.


TABLE OF CONTENT
TITLE PAGE
CERTIFICATION
APPROVAL
DEDICATION
ACKNOWLEDGEMENT
ABSTRACT
TABLE OF CONTENT

CHAPTER ONE
1.0INTRODUCTION
1.1STATEMENT OF PROBLEM
1.2PURPOSE OF STUDY
1.3AIMS AND OBJECTIVES
1.4SCOPE/DELIMITATIONS
1.5LIMITATIONS/CONSTRAINTS
1.6DEFINITION OF TERMS

CHAPTER TWO
2.0LITERATURE REVIEW
CHAPTER THREE
3.0METHODS FOR FACT FINDING AND DETAILED DISCUSSIONS OF THE SYSTEM
3.1 METHODOLOGIES FOR FACT-FINDING 
3.2DISCUSSIONS

CHAPTER FOUR
4.0FUTURES, IMPLICATIONS AND CHALLENGES OF THE SYSTEM 
4.1FUTURES 
4.2IMPLICATIONS
4.3CHALLENGES

CHAPTER FIVE
5.0RECOMMENDATIONS, SUMMARY AND CONCLUSION
5.1RECOMMENDATION
5.2SUMMARY
5.3CONCLUSION
5.4REFERENCES
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APA

Possibility, A. (2018). DISTRIBUTED CHANNEL MANAGEMENT SYSTEM. Afribary. Retrieved from https://afribary.com/works/distributed-channel-management-system-210

MLA 8th

Possibility, Aka "DISTRIBUTED CHANNEL MANAGEMENT SYSTEM" Afribary. Afribary, 29 Jan. 2018, https://afribary.com/works/distributed-channel-management-system-210. Accessed 29 May. 2024.

MLA7

Possibility, Aka . "DISTRIBUTED CHANNEL MANAGEMENT SYSTEM". Afribary, Afribary, 29 Jan. 2018. Web. 29 May. 2024. < https://afribary.com/works/distributed-channel-management-system-210 >.

Chicago

Possibility, Aka . "DISTRIBUTED CHANNEL MANAGEMENT SYSTEM" Afribary (2018). Accessed May 29, 2024. https://afribary.com/works/distributed-channel-management-system-210

Document Details
Field: Computer Science Type: Project 31 PAGES (3752 WORDS) (docx)