Evaluation of e-Government information systems Agility: a Method and Case study

Development of e-government evaluation frameworks began around 2000s. Most of the developed approaches are technologically driven in which they focus on the “E” rather than the “Government”. Moreover, they tend to evaluate tangible measures (such as costs, benefits, etc.) and neglects important intangible measures (such as agility, sustainability, etc.). The state of the art tells that the evaluation of agility within e-government has been proved to be important but complex. However, the importance is due to the increasing need for governments to justify investments, assess impacts and monitor progress in the ever-changing environment. On the other side, the complexity comes with the concept’s multi-disciplinary, the inherited difficulty when quantifying its –intangible dimensions, and developing appropriate evaluative parameters and metrics. Based on that, our paper addresses all these considerations through a practical method for agility evaluation. This method is originally applied to a real case study of e-Algeria project as part of the review of 10 years since its launch in 2013. The objective is to evaluate the agility of TAWASSOL framework that is designed to be one-stop-shop for government services. As far as results of valuation showed low degrees of agility -in both FO (Front Office) side and BO (Back office) side, improvements are recommended for the government heads to improve the overall agility of the framework

Towards Reliable Multi-Path Routing : An Integrated Cooperation Model for Drones

Ad-hoc networks have evolved into a vital wireless communication component by offering an adaptable infrastructure suitable for various scenarios in our increasingly interconnected and mobile world. However, this adaptability also exposes these networks to security challenges, given their dynamic nature, where nodes frequently join and leave. This dynamism is advantageous but presents resource constraints and vulnerability to malicious nodes, impacting data transmission reliability and security. In this context, this article explores the development of a secure routing protocol for Ad-hoc networks based on a cooperation reinforcement model to reduce the degradation of routing performance. We leverage the reputation of nodes as an additional security layer to monitor their behavior and evaluate their level of reliability. To exemplify our solution, we focus on drone fleets (UAVs) as a pertinent case study. Drones frequently operate in dynamic, challenging environments, relying on Ad-hoc networks for communication. They serve as an apt illustration, highlighting the complexities of the issue and the efficacy of our proposed remedy. The simulation results show the effectiveness of our proposed solution compared to stae-of-the-artsolutions

A Novel Approach for Enhancing Routing in Wireless Sensor Networks using ACO Algorithm

Wireless Sensors Network (WSN) is an emergent technology that aims to offer innovative capacities. In the last decade, the use of these networks increased in various fields like military, science, and health due to their fast and inexpressive deployment and installation. However, the limited sensor battery lifetime poses many technical challenges and affects essential services like routing. This issue is a hot topic of search, many researchers have proposed various routing protocols aimed at reducing the energy consumption in WSNs. The focus of this work is to investigate the effectiveness of integrating ACO algorithm with routing protocols in WSNs. Moreover, it presents a novel approach inspired by ant colony optimization (ACO) to be deployed as a new routing protocol that addresses key challenges in wireless sensor networks. The proposed protocol can significantly minimize nodes energy consumption, enhance the network lifetime, reduce latency, and expect performance in various scenarios