Browsing by Author "Jamshed, M. A."

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Energy optimized routing with directional antennas and tagging for multimedia sensor networks
(IEEE, 2018-04-24) Jamshed, M. A.; Amjad, Osama; Khan, M. F.; Amjad, Osama
Several routing optimization strategies have been proposed in research for Wireless Multimedia Sensor Network (WMSN), because of unavailability of the external power source. In this paper, a global energy optimization routing algorithm using directional antennas and tagging of Sensor Nodes (SNs) has been proposed. The proposed mechanism uses the multiple path routing techniques such as; Sequential Assignment Routing (SAR), Multi-path Multi-speed Routing Protocol (MMSPEED) etc., along with an addition of directional antennas instead of omni-directional. Directional antennas transmit the data in the suitable and best available direction based on high Signal to Noise Ratio (SNR), instead of wasting energy and integrity of data by broadcasting. The tagging will help to analyze the coverage area of each SN in an effective way. In addition to transmitting the data in relevant direction, the nodes keep a track of other nodes by using their tags and periodically update the base station if they are unable to receive an update from a neighboring node. This mechanism increases the energy efficiency of the overall network and in comparison to other multi-path techniques, it is more intelligent and secure. The validations have been performed using simulations, which shows that the lifetime and average energy consumption of the network are significantly improved by imposing this method on multi-path algorithms. Moreover, the proposed scheme can be integrated with any multi-path routing strategy.
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Layered structure printed dipole antenna with integrated balun for phased array radars
(IEEE, 2018-04-24) Jamshed, M. A.; Amjad, Osama; Maqsood, M.; Amjad, Osama
A Layered structure printed dipole antenna using through via-hole mechanism has been proposed for phased array radars. For the dipole a low dielectric constant Rogers 5880 substrate has been used to stabilize the structure for high power while, the transmission line feed has been put on a high dielectric constant Rogers TMM10 substrate, to suppress unnecessary radiation, coupling and reducing the size of the antenna. Printed balun has been used to match the impedance by providing a balanced network in order to reduce the Voltage Standing Wave Ratio (VSWR) as much as possible. Via-hole configuration provides an increase in the bandwidth as compared to the open stub configuration and helps to establish a connection between dipole layer and transmission line mechanism. The resonant frequency is set to 2.8 GHz. A 50% reduction in the size of the antenna is also observed, making it feasible for large array antennas. All the results have been calculated using Computer Simulation Technology (CST) simulation tool, further, the prototyping has been done and S-parameter results are cross-verified, which indeed validates the simulation results.
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Multicore energy efficient scheduling with energy harvesting for wireless multimedia sensor networks
(IEEE, 2017-07-02) Jamshed, M. A.; Amjad, Osama; Zeydan, E.; Amjad, Osama
Wireless Multimedia Sensor Networks (WMSNs) are becoming one of the latest trends in the Internet of things. However, in WMSNs the energy constraint is a significant issue. In this paper, an idea of integrating energy harvesting technique with energy efficient scheduling mechanism is proposed. In order to increase the overall energy efficiency, the previously studied scheduling algorithm is used and integrated with a multi-core processor technique. Since increasing the number of cores in a processor decreases the overall energy efficiency, integration of energy harvesting with the processor can alleviate energy loss. The proposed idea constitutes of implementing the technique of lightweight processor (LWP) on a first core and leaving the second core in idle state with multiple lightweight processor implementation. The second core is divided into two parts namely, the main part and the multiple LWPs. The main part of the second core is used to relieve the processing speed issue and the multiple LWPs are used to cover up the flaws of missing deadlines if the number of tasks are increased. The second core comes in operation when the battery capacity is above 50%, using the RF energy harvesting scheme. This method increases the overall energy efficiency of each sensor node from 38% to 60% compared to the single core and single LWP method.