Jiwa Abdullah

Effect of Maximum Node Velocity on GA-Based QOS Routing Protocol (QOSRGA) for Mobile Ad Hoc Network

Multiobjective formulations are realistic models for many complex engineering optimization problems such as QoS routing protocol for mobile ad hoc network. The paper presents QoS routing protocol for MANET with specialized encoding, initialization, crossovers, mutations, fitness selections and route search using genetic algorithm with multiple objectives. The aim is to find the best QoS route in order to optimize the design of MANET routing protocols. This NP-hard problem is often highly constrained such that random initialization and standard genetic operators usually generate infeasible networks. The effect of maximum node velocity on the protocol performances is done conclusively shows that QOSRGA had a potential to be the protocol for MANET.

An efficient data collection and dissemination for IOT based WSN

Data collection issues play a significant role in the area of Wireless Sensor Networks (WSNs) and Internet of Things (IOT). Energy efficiency is affected by the number of data transmissions from the node to the Sink / base station (BS). Control of the update data is one of the feasible ways to reduce the messages sent by the nodes. In transmitting data strategies most of the WSN real-time data applications update the data directly, and some current study made a logical or absolute check to measure the change between the current and last sensor measuring value before updating the data. In this paper, we proposed a method to reduce the number of data transmissions as well as decrease the amount of data that will result in prolonging the lifetime of the network. The proposed method aims to reduce the number of transmitted messages via a node supporting single and multiple sensors based on the relative change or relative differences between the current and last sensor measured values transmitted. The results show the proposed method appears to deliver the best performance in terms of reducing the number of messages transitions and packets size, in this study the mean percentage of reducing the number of messages transmissions is 74%, and 80% is the mean percentage reduce of node packet size. From the results, its clear that reduce the number of packets transitions and reduce the node packet size, will result in a decrease the energy consumption as well as prolonging the lifetime of the system.

The design of mobile control car security system

The present car alarm systems are still of no match to the well-equipped thieves. It is just a matter of seconds to break through the system. This paper introduces and describes the design of mobile controlled car security system offering higher level of car security features. The mobile controlled car security is capable of providing an effective two-way communications between the alarm system and the car owner. This system is able to notify the car owner immediately when intrusion is detected. Additionally, the car owner can remotely control any of the car features anytime at anywhere via a phone call. Based on the GSM positioning concept, this system has the potential to provide car location information to assist in stolen vehicle recovery therefore providing enhancement over the conventional car alarm system.

Evaluating the IEEE 802.15.4a UWB physical layer for WSN applications

Ultra wideband radio (UWB) is a promising technology that offers exceptional data rates for short range communication. This paper presents the analysis of the IEEE 802.15.4a UWB physical layer (PHY) a novel short range wireless communication technology, for wireless sensor network (WSN) applications. We analysed and compared the performance of the UWB PHY using the MIXIM framework for a discrete event based simulator called OMNeT++. In this context, we present the simulation and implementation of line of sight (LOS) and non line of sight (NLOS) channel models with a variety of configurations such as data rates, bandwidth and forward error correction. An analysis on bit error rate (BER) over distance will be discussed in order to evaluate the channels performance. The results will serve as a base for future studies on deploying IEEE 802.15.4a based sensor networks with specific characteristics.

Evaluating the communication performance of an ad hoc wireless network using Mesh Connectivity Layer (MCL) protocol

Several routing protocols were proposed for wireless network in order to enable multihop wireless network and the performance of such protocol is evaluated based on simulations. This paper will evaluate the practically ad hoc wireless network and investigate the performance of such network.

Image compression enhancement for WSN application using AHAAR wavelet transform and classification

prolonging the lifetime of wireless sensor networks (WSNs) is an essential requirement due to limited energy storage capability of sensor node. Battery lifetime can be extended by reducing the amount of data transmitted. Thus, this paper proposed a new image compression of grayscale technique called Adaptive Haar wavelet transform theory to by providing a lossy compression. This method was introduced to overcome the drawback of the original theory by improving the compression capability. It takes into consideration the visual effect on the output image by preserving the image details. The exposure fuzzy logic classifier is utilized in this paper to improve the process of classifying the output of the compressed image into over, under or well-exposed images. Multi scale Retinex (MSR) technique was introduced to enhance the compressed classified images from over or under-expose image contrast. This work aims to increase the long lifetime of sensor by reducing the energy consumption to transfer images in WSN. A universal gray scale image database images had been applied to test the compression ratio. The output is evaluated by comparing the image size before and after compression in KB, the energy of the images before and after and also the energy consumption after the image being compressed. 81.19% energy consumption improvement in the output result of the proposed method.

Energy Provisioning Technique to Balance Energy Depletion and Maximize the Lifetime of Wireless Sensor Networks

With the promising technology of Wireless Sensor Networks (WSNs), lots of applications have been developed for monitoring and tracking in military, commercial, and educational environments. Characteristics of WSNs and resource limitation impose negative impacts on the performance and effectiveness of these applications. Imbalanced energy consumption among sensor nodes can significantly reduce the performance and lifetime of the network. In multi-hop corona WSN, the traffic imbalance among sensor nodes will make nodes located near to the sink consume more energy and finish their energy faster than those distant from the sink. This would cause what is called “energy hole”, which prevents the network from performing the intended tasks properly. The objective of the work in this paper is to balance energy consumption to help improving the lifetime of corona-based WSNs. To maximize the lifetime of the network, an innovative energy provisioning technique is proposed for harmonizing the energy consumption among coronas by computing the extra needed energy in every corona. Experimental results of the evaluation revealed that the proposed technique could improve the network lifetime noticeably via fair balancing of energy consumption ratio among coronas.

A review of simulation framework for wireless sensor networks localization

Wireless sensor networks have the capability to deliver the environmental data to the user. Among the significant data is the location of the node either in static or mobile. A number of network simulators were extensively reviewed specifically for the development of wireless sensor networks protocol. However, there is little work done in assessing the framework for localization simulation. This paper addresses the lack of the previous surveys by giving the guidelines for localization developer to select the suitable network simulator or programming language. It includes a comparative description on importance features in evaluating the localization algorithm. In addition, it discusses the general performance evaluation metric use for localization. Finally, it list several open issues which help in developing and analyzing the localization algorithm.

Maximizing the network lifetime of clustered-based WSN using probability of residual energy

The deployment of Wireless Sensor Network(WSN) must be done with some kind of advanced techniques so that it can mitigate the energy constraints. An existing, clustered-based routing protocol known as Low-Energy Adaptive Clustering Hierarchy (LEACH) was studied, the outcome is an improved algorithm based on LEACH. The performance of these algorithms was studied through simulations using OMNeT++. In the original LEACH, the Cluster Heads selections were based on a distributed algorithm. For the modified algorithm, the improvement was done in the Cluster Head selection process. The selection process takes into account the residual energy of each node and used its probability outcome for the determination of the threshold value for next round. The results concluded that the performance of the modified algorithm is better than the original LEACH, the outcome will result in maximizing network lifetime.

De-noising of auditory brainstem response via diffusion and wavelet transform

Evoked Potentials are event-related activities that occurred as an electrical response from the brain to different sensory stimulations of nervous tissues. In this paper, auditory evoked potentials (AEP) brain responses were collected and examined. The data collection was done twice with three different levels of sound and frequencies. The auditory brain response data were extracted from the noisy original data using the averaging technique and set as a reference signal. We propose new approaches for feature extraction of the auditory brain response using wavelet transforms and diffusion filters algorithms. The wavelet transform has the ability to resolve the data into various levels of decomposition, which facilitate its representation in the frequency and time domain. The diffusion filters, on the other hand enhanced the extracted signals resulting in the noise suppression and thus reducing the error. Performance analysis was done based on signal-to-noise ratio (SNR), mean squared error (MSE) and peak-signal-to-noise ratio (PSNR). The outcome shows that the diffusion technique produces better performance than wavelet transform in all the cases studied.