This work discusses the performance degradation of ad hoc network because few nodes of the network utilizing omni directional antenna and some of them using directional antennas. We have many directional MAC protocols. But most of them has kept it in mind that each node of the network will have a directional antenna mounted on it. While in real time scenario it is quite unusual that a sudden change will occur and every laptop, palmtop, computer and other devices will be turned into a smart antenna holding device. There will be network scenario, where we will have devices of mixed nature, omni directional as well as directional antenna patterned. Using OPNET 14.5 simulation tool we have simulated a directional and omni mode mixed scenario with IEEE 802.11 MAC protocol. For directionality we have designed an antenna pattern of 90 degree with the help of the antenna editor of the simulation tool. We found that lack of a specific protocol for the above kind of scenario degrades the performance of ad hoc network.
Several MAC protocols proposed for IEEE 802.11 wireless local area network. In that research, authors used the same backoff scheme proposed in the IEEE 802.11 i.e. the minimum contention window size is 32. However we can vary the minimum contention window size as per the network requirement. It the network size is big we can take big contention window and when the network size is small we can take small window size. This way we can increase the performance of network and decrease the average delay. In this paper we analyze the performance of IEEE 802.11 wireless ad hoc network, in terms of varying the minimum contention window and simulate to validate our numerical result in OPNET 14.5.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.