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Wireless Sensor Network (WSN) is an emerging application that has proved to be very effective due to its wide application and so has become very prominent various industries and research WSN's life is improved through clustering-based routing. Operation and network life are controlled by a large deployed sensor network whose major characteristic is self-organization and energy efficiency. The area...
In recent years, with increasing use of internet the computer systems are facing many number of security issues. Intrusion detection system (IDS) is one of the principal components of any information security system. Identification of anomalous activity in computer network is first step in identifying the threat to information system. Our focus is mainly on Genetic algorithm (GA) based anomaly detection...
Cognitive engines have been under study and development for a number of years as a technique for addressing the needs of cognitive radios [1,2,3]. More recently there has been effort to expand the role of the cognitive engine to address the needs of a network of cognitive radios [4,5]. Haykin [6] has demonstrated that there is a significant difference between a network of cognitive radios and a cognitive...
This paper proposes a new technique based on Hyper Genetic Algorithm (GA) and Particle Swarm Optimisation (PSO) to evolve optimal agenda for bilateral multi-issue negotiation. In sequential negotiation the agenda specifies the set of issues included in the negotiation and the order in which they will be discussed. A player's profit from negotiation depends on the agenda. Each player wants to find...
Automated configuration and management of highly dynamic networks is a challenging problem for network practitioners. Such online optimization of systems can be performed in two ways: (i) using a separate model of the system for experimenting new configurations, (ii) using the system itself for experimentation without a separate system model. The former approach fails for dynamic networks with high...
Online configuration of large-scale systems such as networks require parameter optimization to be done within a limited amount of time. This time limit is even more pressing when configuration is needed as a recovery response to a failure in the system. To quickly configure such systems in an online manner, we propose a Probabilistic Trans-Algorithmic Search (PTAS) framework which leverages multiple...
P2P-based optimization has recently gained interest among distributed function optimization scientists. Several well-known optimization heuristics have been recently re-designed to exploit the peculiarity of such a distributed environment. The final goal is to perform high quality function optimization by means of inexpensive, fully decentralized machines, which may either be purposely organized in...
Optimizing energy consumption is the main concern for designing and planning the operation of the Wireless Sensor Networks (WSNs). Clustering technique is one of the methods utilized to extend lifetime of the network by applying data aggregation and balancing energy consumption among sensor nodes of the network. In this paper, we propose the recently developed, Harmony Search Algorithm (HSA) for minimizing...
Wireless sensor networks (WSNs) are commonly used in various ubiquitous and pervasive applications. Due to limited power resources, the optimal dynamic base station (BS) replacement could be Prolong the sensor network lifetime. In this paper we'll present a dynamic optimum method for base station replacement so that can save energy in sensors and increases network lifetime. Because positioning problem...
As networks, particularly wireless networks, evolve, there has become a proliferation of different protocols and operational parameters available for their implementation. This is especially true for wireless sensor networks, but also for WLANS and cognitive radio systems. Selecting the optimum set of protocols and parameters for a specific application or operating condition becomes a serious challenge...
There is a growing need for tools that could help Wireless Network system designers in selection of different protocols before a practical network deployment. A Genetic Algorithm(GA)-based Sensor Network Design Tool(SNDT) is proposed in this work for wireless sensor network design in terms of performance, considering application-specific requirements, deployment constrains and energy characteristics...
It is well known that controlling the optimism in Time Warp is central to its success. To date, this problem has been approached by constructing a heuristic model of Time Warp's behavior and optimizing the models' performance. The extent to which the model actually reflects reality is therefore central to its ability to control Time Warp's behavior. In contrast to those approaches, using genetic algorithms...
FlexRay is an automotive communication protocol that combines the comprehensive time-triggered paradigm with an adaptive phase that is more suitable for event-based communication. We study optimization of average response times by assigning priorities and frame identifiers to tasks and messages. Our optimization approach is based on immune genetic algorithms, where in addition to the crossover and...
The Genetic Algorithms (GAs) control parameter settings are key factors in the determination of the exploitation versus exploration tradeoff. Adaptive genetic algorithms (AGAs) have been built for inducing exploitation/exploration relationships that improve the final results. One of the most widely studied adaptive approaches are the adaptive parameter setting techniques. Nevertheless, there are no...
Sensor networks are an emerging field of research which combines many challenges of modern computer science, wireless communication and mobile computing. They present significant systems challenges involving the use of large numbers of resource-constrained nodes operating essentially unattended and exposed to potential local communication failures. The physical constraints of a sensor network, especially...
In agent bilateral multi-issue bidding negotiation protocol, how to make the negotiation agents gain satisfying result farthest and negotiate efficiently is a key issue. As for this problem, a genetic algorithm based on metropolis rule is present in the protocol and the algorithm is applied in bilateral multi-issue simultaneous bidding negotiation protocol in E-commerce. In the protocol, the negotiation...
In the ad hoc network of high mobility currently, there exists the problem of the high delay. This paper proposes to apply particle swarm optimization (PSO) strategy to improve this problem. Firstly, we present a hybrid particle swarm optimization (HPSO) algorithm combining genetic algorithm (GA), which is suitable to be used in a routing protocol, and then establish an on-demand routing protocol...
Controller Area Network (CAN), a typical event- triggered protocol, has been widely used in constructing distributed real time network. A common opinion is that the arbitration mechanism of CAN might introduce jitters, which is highly undesirable in time and safety critical applications. Time-triggered protocols address exactly the problem. Time- triggered protocols, such as Flexray, Time-Triggered...
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