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in some cases, the file type may be unknown or may be a file. Copyright of the original materials contained in the supplemental file is retained by the author and your access to the supplemental files is subject to the Pro Quest Terms and Conditions of use.Depending on the size of the file(s) you are downloading, the system may take some time to download them. For the MANET to retain its efficiency, the ad hoc protocols at various layers may need to self-tune to adjust to environment, traffic and mission changes.
As a difference from the Internet where the TCP/IP protocol suite supports a vast range of applications, in the MANET the protocols are tuned to a specific customer and application (eg, send a video stream across the battlefield; find out if there is a fire in the forest; establish a videoconference among several teams engaged in a rescue effort, etc).
The customers move and the environment may change dynamically and unpredictably.
In this section, we introduce problems that arise as a result of directional communication.
We consider two such problems and propose techniques that consequently lead to throughput, delay and scalability enhancement.
As in centralized wireless systems, ad hoc networks are also expected to support high data rates, low delays, and large node density in addition to many other Qo S (Quality of Service) requirements.
However, due to unique ad hoc network characteristics, spectrum scarcity, computational limit of current state-of-the-art technology, power consumption, and memory; meeting Qo S requirements is very challenging in ad hoc networks.
In this context, we identify various functional blocks, and show through simulations that global and local perturbations through parametric correlation can be used for performance optimization.
In the second section, we propose MAC (Medium Access Control) scheduling approaches for omni-directional antenna environment to enhance throughput, delay, scalability and fairness performance under channel fading conditions.
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