Earticle

Conventional neural network modeling techniques are not suitable for developing models that have many input variables because data generation and model training become too expensive. In this paper, an efficient neural network modeling technique for microstrip hairpin band pass filter that have many input variables is proposed. The decomposition approach is used to simplify the overall high dimensional neural network modeling problem into a set of low dimensional sub neural network problems. A method to combine the sub models with a filter empirical/equivalent model is developed. An additional neural network mapping model is formulated with the neural network sub models and empirical/ equivalent model to produce the final overall filter model. Even, with a limited amount of data, the proposed model can produce much more accurate results compared to the conventional neural network model and the resulting model is much faster than an EM model.

Recently there has been an alarming increase in demand for wireless video streaming and the need to provide the required quality of service (QoS) to support video applications is very crucial. It is obvious that supporting multimedia applications and services over wireless is very challenging task due to network heterogeneity and different QoS requirements. This requires low complexity and highly efficient optimization scheme to cope with the unpredictable channel condition. This paper is aimed at developing a biologically-inspired scheme using particle swarm optimization (PSO) to achieve optimal video streaming. The optimal parameters configuration selected provide the best settings to enhance the video streaming quality over wireless LAN. The scenario has been simulated in NS-2 environment, it clearly shows that the video quality has been improve by selecting best configuration to ultimately support video application. The PSO-based approach outperforms other techniques used to compare the performance of the develop scheme in terms of perceived video quality by more than 0.5dB. The experimental simulation has been used to verify the efficiency and potential application of the PSO in wireless multimedia networks.

In this paper, an adaptive forwarding strategy for wireless networks using multiple relays in general cooperative link is analyzed. Two schemes, amplify-and-forward (AF) and decode-and-forward (DF) are investigated depending on channel conditions. Further a hybrid scheme employing multiple relays which allows switching between the two schemes according to channel condition is proposed. The bit error probability performance (BEP) for the proposed hybrid strategy has been evaluated in presence of m-nakagami fading. The simulation results are general as they hold for an arbitrary number of cooperating branches and arbitrary number of cooperating hops per branch. We have evaluated the BER performance for variable number of relays in multi-hop and multi-branch cooperative network. The impact of switching threshold and ‘m’ parameter on bit error rate (BER) is indicated. Further BEP performance is assessed using LDPC code.

With the increasing demand of multimedia applications, efficient and effective support of quality of service (QoS) has become more and more essential. A multicast communication creates a distribution tree structure, on which a multicast source sends a single copy of data to a group of receivers instead of sending a separate copy of the data to each receiver as in a unicast communication. In this paper, we study the bandwidth, delay, delay jitter, and packet loss ratio constrained least-cost multicast routing problem which is known to be NP-complete, and present an adaptive genetic simulated annealing algorithm (AGSAA) to solve the QoS multicast routing problem. The simulation results show that this algorithm has fast convergence and excellent cost performance.

This paper explains two main aspects of RFID supply chain management – the generic supply chain management and the specific military application for the purpose of asset viability. The generic supply chain management is studied by examining how to improve supply chain management through accurately determining inventory levels in real time without human interaction. For the military application, the current legacy systems used by the military for Supply Chain Management and Asset Visibility are analyzed and suggestions are made for improvements in the form of Total Asset Visibility through Radio Frequency Identification tags, and Geographic Information Systems.

Internet is evolving as a main infrastructure for wireless and mobile communication. Mobile IPv4 (MIPv4) is a protocol designed by Internet Engineering Task Force (IETF) to support seamless roaming of mobile devices. MIPv4 allows mobile devices (or nodes) to have continuity of communication without any interruption while in mobility. MIPv4 handoff is a process by which mobile node (MN) changes its point of attachment from subnet to a new subnet. In this paper, a multiparty handoff scheme is proposed to minimize the handoff latency and packet loss during rapid movement of MN.