Mohammed Omari

Image compression based on exploiting similarities in a group of pictures

A lot of images and photos are being produced today using our personal devices such as cameras, smart phones and tablets. Taking many shots is becoming more frequent due to costless processing of pictures production. In this paper, we are investigating compression of a group of similar photos or images all together instead of separate compressions. In our technique, we considered applying blurring over the original images in order to gain better compression ratio. Moreover, subimages are classified to form a non redundant codebook that helps producing index file with smaller size than the original images. Experimental results showed competitive compression achievements compared to peer techniques such as JPEG and PNG.

Enhancing multihop routing protocols in wireless sensor networks using LEACH-1R

Energy consumption is one of the most important factors in wireless sensors networks (WSN). In fact, many protocols have been modified to enhance the lifetime of deployed sensors networks. In our work, we are investigating multihop clustering protocols such as MR-LEACH and MH-LEACH as well as their modified version that integrate the LEACH-1R protocol that which aids to stabilize the network at the phase of clustering. Experimental results shows a clear advantage when LEACH-1R was integrated in both MR-LEACH and MH-LEACH in term of energy consumption, life time, and stability of the network when compared to their original version.

Simulation, comparison and analysis of Wireless Sensor Networks protocols: LEACH, LEACH-C, LEACH-1R, and HEED

Wireless Sensor Networks (WSNs) are made up of tiny sensor nodes which sense the data and communicate to the base station via other nodes. These sensor nodes are inexpensive portable devices with limited processing power and energy resources which make them in need of smart clustering protocols. Many clustering and routing protocols were proposed in the literature to serve large networks of such tiny devices. In this paper, we have implemented and analyzed different clustering protocols, namely LEACH, LEACH-C, LEACH-1R, and HEED using MATLAB environment. These clustering protocols are compared in different terms such as residual energy, data delivery to the base station, maximum number of rounds and the number of live nodes. Experimental results showed a better performance of the LEACH protocols when compared to the different versions of HEED. Moreover, LEACH-1R proved to be efficient in terms of network lifetime.

Enhancing MR-LEACH protocol using Ant Colony algorithm

Wireless sensor networks are characterized by their sensitivity to complex routing protocols that waste energy. In fact, many ad hoc protocols were experimentally proven to be inconvenient for this type of networks. MR-LEACH is a protocol that governs the sensors data transfer to the base station in a multi-hop hierarchical manner. However, the hierarchical clustering does not achieve a high performance due to the greedy mechanism to establish paths from far cluster heads to the base station. In this paper, we propose a hybrid protocol between MR-LEACH and Ant colony Optimization in order to enhance the hierarchical communication between sensors. Experimental results based on Matlab simulation showed a better enhancement of the hybrid protocol compared to MR-LEACH in terms of lifetime and network stability.

Image compression based on genetic algorithm optimization

Image compression has attracted a lot of research since the beginning of Internet era and telecommunication. Enhancing image compression quality and ratio was achieved through several approaches such as neural networks and discrete transforms. However, other heuristic and bio-inspired methods such as genetic algorithms are still under experimentation. In this paper, we introduced a new image compression mechanism based on exploiting the relationship between fractional numbers and their corresponding quotient representation. Each sub-image is mapped to a fractional number based on the RGB representation, and then reduced to an efficient quotient. The appeal of using genetic algorithms is explained by the massive search to find a close fraction that is reduced to short quotient. Our method showed a considerable compression ratio when the least significant bits of each byte are altered, hence, the image quality is preserved while achieving high compression ratio.

Comparative Simulation Study Of LEACH-Like And HEED-Like Protocols Deployed In Wireless Sensor Networks

WSNs represents one of the most interesting research areas with deep impact on technological development because of their potential usage in a wide variety of applications such as fire monitoring, border surveillance medical care, and highway traffic coordination. Therefore, WSNs researchers have defined many routing protocols for this type of network. In this paper, we have implemented and analyzed different clustering protocols, namely LEACH, LEACH-C, LEACH-1R, and HEED using MATLAB environment. These routing protocols are compared in different terms such as residual energy, data delivery to the base station, number of rounds and live nodes.

Hybridizing PEGASIS with LEACH-1R protocols in wireless sensor networks

Wireless Sensor Networks (WSNs) consist of small nodes with sensing, computation, and wireless communications capabilities. Routing is one of the new key technology which has become a hot research nowadays since the applications of WSNs are growing everywhere. Hierarchical routing in wireless sensor networks (WSNs) is a very important topic that has been attracting the research community in the last decade. In our work, we proposed a set of hierarchical hybrid protocols between clustering-based LEACH-1R protocol and chain-based PEGASIS protocol, where we aim to enhance the lifetime of the network.

Image compression based on logarithmic functions and pixels' shifting

Image compression has wide area in image processing researches. It consists of minimizing the size in bytes of an image without degrading the quality to an unacceptable level. The reduction in file size allows more images to be stored in a given amount of disk or memory space. For this reason, many researches and compression techniques have been proposed; some of these have been effective in some areas and failed in others. In this paper, we propose a novel approach based on logarithm transform with pixels shifting. Using a non-uniform quantization technique, this approach can adapt to the type of image, making it more robust than existing methods. To assess the usefulness of our approach, we evaluated its performance on several benchmark images, and compared it to that of state-of-the-art methods based on Discrete Cosine Transform and Discrete Wavelet Transform. Results of these experiments showed our approach to be more accurate than existing methods on the tested images.

Simulation comparison and analysis of DSR and DYMO protocols in MANETs

Ad-hoc network has opened a new dimension in wireless networks. It allows wireless nodes to communicate with each other in the absence of centralized support. It does not follow any fixed infrastructure because of the mobility of nodes and multi-path propagations. Link instability and node mobility make routing a core issue in MANETs. A suitable and effective routing mechanism helps to extend the successful deployment of MANETs. In this paper, we have simulated and analyzed two routing protocols: DSR (Dynamic Source Routing Protocol) and DYMO (Dynamic MANET On-demand Routing). Our simulations were conducted using the OMNET simulation tool. Simulation results showed a better performance of DYMO over DSR in terms of throughput, packet delay, packet dropping, and collision ratio.

Hybrid Hierarchical Clustering Protocol in Wireless Sensor Networks based on Ant Colony Algorithm and MR-LEACH

Energy consumption is one of the most important factors in wireless sensors networks (WSN). In fact, many protocols have been modified to enhance the lifetime of deployed sensors in a wireless network. In our work, we are investigating new optimization methods such as Ant Colony, where we aim to enhance the lifetime of the network based on a better network clustering. For experimental purposes, we implemented three protocols LEACH, MR-LEACH and our proposed ant colony algorithm. We have used the MATLAB environment in order to compare these protocols vis-à-vis the energy consumption and the lifetime of the network. Our proposed protocol showed better results in terms of throughput and life time compared to the original LEACH and MR-LEACH protocols.