Mohammad Mamun Elahi

Comparative performance analysis of MPEG4, FLV and 3GP multimedia file formats using wireless network parameters

Many recommendations are proposed for accommodating multimedia content into wireless media with lower bandwidth. These formats of the content have been developed with different objectives. Now it has become really challenging to compare all these diversified formats. In this paper, we proposed an algorithm to compare the FLV, MPEG4 and 3GP format of multimedia content using the parameters that determines their performance in wireless network. Finally, exhaustive experiments are done and the results are shown to demonstrate the merits and capabilities of the different file formats.

An Intelligent Decision Support System for Arsenic Mitigation in Bangladesh

Arsenic contamination of groundwater in many nations including Bangladesh shows that this is a global problem. Because of the delayed health effects, poor reporting, and low levels of awareness in some communities, the extent of the adverse health problems caused by arsenic in drinking water is at alarming level in Bangladesh. Also, allocating resources such as tube wells efficiently and effectively to mitigate arsenic hazard is a challenging task in Bangladesh. To allocate resources based on different arsenic hazard parameters, we have developed a Decision Support System that enables the user to observe the effect of allocation policy both in tabular and spatial format using statistical models. We have also developed an algorithm for optimal allocation of resources. A Smart User Interface is designed for the users so that they will find an interactive, user-friendly, intelligible, logical, clear, and sound environment to work with. Finally, we have analyzed and demonstrated the efficacy of our algorithm graphically.

A distributed load balancing algorithm for adaptive cognitive radio network

Cognitive radio network, which deals with dynamic frequency assignment, is one of the most popular research topic nowadays in the context of cellular networks, WLANs and mesh networks as well. The growing interest in the cognitive radio technology and its capability to offer more efficient spectrum usage attracts researchers to find efficient algorithms to accommodate more users and to provide better service in wireless communication. In this paper, we present a distributed algorithm for selecting channels, in cognitive radio environment, so that the load is distributed over them for more efficient service. Simulations and experimental results show the efficacy of proposed approach.

A distributed neighbor discovery based approach for cluster head selection in wireless sensor networks

Clustering is an important concept in the area of wireless sensor network research because of the large number of capability-limited sensors. Most of the clustering algorithms proposed so far in the literature needs the complete topology in the memory and faces the problem of exponential increase of execution time with the size of the topology. In this paper, we propose a distributed neighbor discovery based algorithm, which does not need the complete topology for the cluster head selection. The simulation results show that the proposed approach takes much less time and memory when compared to approaches considering the full topology.