Minimizing Mobiles Communication Time Using Modified Binary Exponential Backoff Algorithm

The domain of wireless Local Area Networks (WLANs) is growing speedily as a consequence of developments in digital communications technology. The early adopters of this technology have mainly been vertical application that places a premium on the mobility offered by such systems. Examples of these types of applications consist of stocking control in depot environments, point of sale terminals, and rental car check-in. Furthermore to the mobility that becomes possible with wireless LANs; these systems have also been used in environments where cable installation is expensive or impractical. Such environments include manufacturing floors, trading floors on stock exchanges, conventions and trade shows, and historic buildings. With the increasing propagation of wireless LANs comes the need for standardization so as to allow interoperability for an increasingly mobile workforce. Despite all the advantages and facilities that Wi-FI offers, there is still the delay problem that is due to many reasons that are introduced in details in our case study which also presents the solutions and simulation that can reduce this delay for better performance of the wireless networks. Binary Exponential Backoff (BEB) refers to a collision resolution mechanism used in random access MAC protocols. This algorithm is used in Ethernet (IEEE 802.3) wired LANs. In Ethernet networks, this algorithm is commonly used to schedule retransmissions after collisions. The paper’s goal is to minimize the time transmission cycle of the information between mobiles moving in a Wi-Fi by changing the BEB algorithm. The Protocol CSMA / CA manage access to the radio channel by performing an arbitration based on time. This causes many problems in relation to time transmission between mobiles moving in a cell 802.11. what we have done show that the protocol using CSMA / CA access time believed rapidly when the number of stations and / or the network load increases or other circumstances affects the network.