Evjola Spaho

Evaluation of WMN-GA for different mutation operators

Wireless mesh networks (WMNs) have become an important networking infrastructure for providing cost-efficient broadband wireless connectivity. WMNs are showing their applicability in deployment of medical, transport and surveillance applications in urban areas, metropolitan, neighbouring communities and municipal area networks. In this paper, we deal with connectivity and coverage problem of WMN. Because these problems are known to be NP-Hard, we propose and implement a system based on genetic algorithms (GAs) called WMN-GA. We evaluate the performance of WMN-GA for different mutation operators and show that single mutation operator has better behaviour considering size of giant component and the number of covered users.

Goodput and PDR analysis of AODV, OLSR and DYMO protocols for vehicular networks using CAVENET

A Vehicular Ad-Hoc Network (VANET) is a form of Mobile Ad-Hoc Network (MANET), which enables communication between vehicles and nearby roadside infrastructure through a wireless sensing device installed in vehicles. In VANETs and MANETs, the topology of network changes very often, therefore implementation of efficient routing protocols is very important problem. In VANETs, the mobility pattern of nodes is restricted along roads and is affected by movement of neighbour nodes. In this paper, we present a simulation system for VANET called CAVENET. In CAVENET, the mobility patterns of nodes are generated by one-dimensional cellular automaton. We implemented three routing protocols on CAVENET (AODV, OLSR and DYMO) and investigated their performance. We considered as evaluation metrics for simulation goodput and Packet Delivery Ratio (PDR). The simulation results have shown that DYMO protocol has better performance than AODV and OLSR protocols.

A comparison study of two fuzzy-based systems for selection of actor node in wireless sensor actor networks

In wireless sensor and actor networks, sensors and actors collaborate to get the information about the physical environment and perform appropriate actions. In order to provide effective sensing and acting, a distributed local coordination mechanism is necessary among sensors and actors. In this work, we implement and compare two Fuzzy-Based Systems (FBS1 and FBS2) for actor selection problem. These systems decide whether the actor will be selected for the required job or not, based on data supplied by sensors and actual actor condition. For FBS1, we use three input parameters: job type (JT), remaining energy of actor (REA) and distance of actor from job place (DAJP). The output parameter is actor selection decision (ASD). The simulation results show that the FBS1 decides the actor selection in order to have short delays, low energy consumption, and proper task assignment. For FBS2, we consider four input parameters: JT, REA, DAJP and actor node speed (ANS). The output parameter is the ASD. Comparing complexity of FBS1 and FBS2, the FBS2 is more complex than FBS1. However, it also considers mobility of actor nodes. Thus, the FBS2 is more flexible system than FBS1.

A Fuzzy-Based System for Peer Reliability in JXTA-Overlay P2P Considering Number of Interactions

The trustworthiness of peers is very important for safe communication in P2P system. In this paper, we propose a fuzzy-based reliability system for P2P Communications in JXTA-Overlay. We use three input parameters: Number of Interactions (NOI), Amount of Data Exchanged (ADE), and Reputation (R) and the output is Peer Reliability (PR). We evaluate the proposed system by computer simulations. The simulation results show that the proposed system have a good behaviour can be used successfully to evaluate the scale of reliability of the new peer connected in JXTA-Overlay.

VANET Simulators: A Survey on Mobility and Routing Protocols

Vehicular Ad-hoc Networks (VANETs) are an instance of Ad-hoc networks, which are general-purpose distributed wireless networks interconnected without the need of any centralized infrastructure. VANETs are expected to be massively deployed in upcoming vehicles, because their use can improve the safety of driving and makes new forms of inter-vehicle communications possible as well. The simulation of VANETs requires two different components: a vehicular traffic simulator, capable to provide an accurate mobility model for the nodes of a VANET, and a network simulator, for simulating the behavior of a wireless network. In this paper, we provide a survey of mobility models proposed for VANETs. We analyze challenges and future perspectives of VANET simulators and current routing solutions for VANET.

Analysis of Mesh Router Placement in Wireless Mesh Networks Using Friedman Test

In this paper, we deal with connectivity and coverage problem in Wireless Mesh Networks (WMNs). We used Friedman test to compare Genetic Algorithm (GA) and Tabu Search (TS). We found out that GA and TS have difference in their performance. Then, we used the implemented systems WMN-GA and WMN-TS to evaluate and compare the performance of the system for different distributions of mesh clients in terms of giant component and covered mesh clients. The simulation results shows that for big radius of communication distances WMN-GA performs better than WMN-TS for Uniform, Normal and Weibull distributions of mesh clients. For Exponential distribution WMN-TS performs better than WMN-GA for all radius of communication distances.

Implementation of SmartBox End-Device for a P2P System and Its Evaluation for E-Learning and Medical Applications

In this paper, we present the experimental results and evaluation of the Smart Box stimulation device for elearning and medical applications in a P2P system which is based on JXTA-Overlay. The Smart Box is integrated with our P2P system as a useful tool for monitoring and controlling learners or patients activities. We found by experimental results that by Smart Box we can increase the learner’s concentration and check the patient’s situation. We also investigated the relation between learner’s body movement, concentration, and amount of study. Furthermore, we carried out experiments with a patient in the bed. From the experimental results, we conclude that the use of Smart Box is an effective way for e-learning and medical applications.

Performance Evaluation of OLSR and AODV Protocols in a VANET Crossroad Scenario

In this paper, we investigate the performance of OLSR and AODV protocols in a VANET crossroad scenario. The mobility patterns of vehicles are generated by means of CAVENET (Cellular Automaton based Vehicular Network) and as communication protocol simulator, is used NS3(Network Simulator 3). For the simulations, we used IEEE802.11p standard, TwoRayGroundPropagationLossModel and sent multiple CBR flows over UDP between ten pairs source-destination. We use Packet Delivery Ratio (PDR), throughput and delay as evaluation metrics. We compared the performance of both protocols and the simulation results shows that for big values of transmission rates, OLSR performs better than AODV. For small transmission rates, the delay is less than 0.1sec and both protocols can be used for real time applications such as safety applications. For big values of transmission rate, the delay is higher than 1 sec and these protocols can be used for applications that tolerate this delay such as streaming and entertainment.

A new system for supporting children with autism spectrum disorder based on IoT and P2P technology

In this paper, we implement and evaluate the performance of a new system based on internet of things (IoT) and P2P technology for supporting learning and improving the quality of life for children with autism spectrum disorder (ASD). Many children with autism are highly interested and motivated by smart devices such as computers and touch screen tablets. These types of assistive technology devices get children with autism to interact, make choices, respond, and tell parents what they are interested, need, think, and maybe even feel. Our proposed system uses JXTA-Overlay platform and SmartBox device to monitor the children and create P2P communication between children, caregivers and therapists. Various visual systems, such as objects, photographs, realistic drawings, line drawings, and written words, can be used with assorted modes of technology, as long as the child can readily comprehend the visual representation. Vocabulary skills, mathematics skills and other life skills can be taught through our proposed system. We evaluated the effect of our system during study sessions of children diagnosed with ASD. The experimental results show that our system supports engaged learning and the SmartBox increases and maintains the concentration of children with ASD during studying.

QoS routing in ad-hoc networks using GA and multi-objective optimization

Much work has been done on routing in Ad-hoc networks, but the proposed routing solutions only deal with the best effort data traffic. Connections with Quality of Service QoS requirements, such as voice channels with delay and bandwidth constraints, are not supported. The QoS routing has been receiving increasingly intensive attention, but searching for the shortest path with many metrics is an NP-complete problem. For this reason, approximated solutions and heuristic algorithms should be developed for multi-path constraints QoS routing. Also, the routing methods should be adaptive, flexible, and intelligent. In this paper, we use Genetic Algorithms GAs and multi-objective optimization for QoS routing in Ad-hoc Networks. In order to reduce the search space of GA, we implemented a search space reduction algorithm, which reduces the search space for GAMAN GA-based routing algorithm for Mobile Ad-hoc Networks to find a new route. We evaluate the performance of GAMAN by computer simulations and show that GAMAN has better behaviour than GLBR Genetic Load Balancing Routing.