Showing papers by "Muhammad Hassan published in 2012"

Solar Harvested energy prediction algorithm for wireless sensors

Abstract: Recently, wireless sensing nodes are being integrated with ambient energy harvesting capability to overcome limited battery power budget constraint and extending effective operational time of sensor network. Solar panels are more frequently used to collect light energy for wireless sensing node. In order to efficiently utilize solar harvested energy in design, precise solar harvested energy prediction is a challenging task due to irregularity in solar energy patterens because of continually changing weather conditions. In this paper, we are presenting efficient algorithm for solar energy prediction based on additive decomposition (SEPAD) model. In this model, we are individually considering both seasonal and daily trends along with Sun's diurnal cycle. The performance of this algorithm is compared with existing solar energy prediction approaches and results show that our algorithm performance is better than existing approaches.

Development of Energy Harvested Wireless Sensing Node for Structural Health Monitoring

Abstract: Formation and propagation of cracks in concrete structure are one of the earliest symptoms threatening durability and reliability of the structure. Existing solutions for crack monitoring are expensive and incapable of large scale deployment. In this paper, existing solutions targeting crack monitoring application are analyzed and new wireless sensor is proposed by harvesting ambient energy and hence providing a longer life time. In order to monitor crack, our proposed sensor is required to physically cross the crack and attached to the concrete surface on one end while the other end is placed on rubber pad. With the change in crack width, there is a proportional relative displacement in the concrete surface under sensor and this relative displacement is computed by acquiring sequential images of concrete surface and processing through digital signal processor. Moreover, In order to efficiently utilizing harvested energy, energy aware task management is adopted to accomplish tasks. As compared to existing solutions, this solution offers low power, longer lifetime and large scale deployment capability.

Wireless microelectronic nose network for gas classification

Abstract: Electronic nose systems, containing array of gas sensors, are emerging platforms in numerous disciplines of life for gas classification Repeated performance of these systems is not guaranteed because of their drift due to temperature and humidity and hence make them inefficient to distinguish gases correctly over time with stand-alone unit Wireless sensors network is the promising solution to improve the performance of gas identification over single unit This paper, adopts spike rank order encoding scheme due to its concentration independent feature and proposes wireless microelectronic nose network to get improved performance over single unit In our scheme, weights are assigned to relative position of spikes in each training gas and these weights play a decisive role about decision of testing gas when received ranks from the nodes are not fully matched with any of the training gas signature In the network, nodes send their ranks sequence to base station on gas exposure Base station identifies testing gas as one of the training gas if its reference ranks signature is received from the nodes If no training gas rank signature is received from any node then the node with maximum ranks matching sequence to any training gas is selected and mismatch pattern is searched in others node On failure to find a matched sequence, decision is based on the inter-spikes weights Experimental results validate the improved performance of this approach over single electronic nose system

A preliminary study on the use of optical navigation sensor for two dimensional crack propagation monitoring

Abstract: In this paper, a preliminary study on the development of a wireless image-based sensor for two-dimensional (2D) crack propagation monitoring is reported. This sensor contains an optical navigation sensor board (ADNS-9500) which is incorporated into the Imote2 IPR2400 platform. To monitor crack propagation, the Imote2 sends a signal to the ADNS-9500 to switch on the built-in laser and camera collecting images reflected from the concrete surface. The captured images are processed by an optical flow method to obtain the relative displacement between images. A series of tests have been conducted to calibrate the accuracy of the proposed crack sensor. Results show that the crack sensor exhibits a strong linearity under 2D movement and can track the movement quiet well.