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doi:10.1093/comjnl/bxt043 Cyber-Physical Systems for Optimal Energy Management Scheme of Autonomous Electric Vehicle
, 2012
"... Recently, cyber-physical systems (CPSs) have emerged as a cutting edge technology for next-generation industrial applications, and are undergoing rapid development and inspiring numerous application domains. In this article, we propose a novel CPS application for energy management framework (EMF) to ..."
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Recently, cyber-physical systems (CPSs) have emerged as a cutting edge technology for next-generation industrial applications, and are undergoing rapid development and inspiring numerous application domains. In this article, we propose a novel CPS application for energy management framework (EMF) toward autonomous electric vehicle (AEV) in smart grid. We first give a brief overview of related technologies, including open research issues of CPS, enabling wireless communication technologies for CPS, smart grid, AEV and its path planning, energy-efficient design for AEV, etc. Then we design EMF from the following aspects, such as AEV with wireless sensor networks (WSNs) navigation, smart grid communication architecture for EMF and AEV charging station. The proposed EMF is able to collect the real-time power consumption status and demand from AEV and charging stations. We also address EMF to overcome some issues, such as real-time traffic information. Subsequently, the energy-efficient design schemes for AEV are proposed and formulated from the point of view of path planning and event-based control technique. Finally, we outline the issues and challenges for EMF.
A Decentralized Approach for Detecting Dynamically Changing Diffuse Event Sources in Noisy WSN Environments
"... A decentralized approach for detecting dynamically changing diffuse event sources in noisy WSN environments ..."
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A decentralized approach for detecting dynamically changing diffuse event sources in noisy WSN environments
Multi-agent role allocation: issues, approaches, and multiple perspectives
- AUTON AGENT MULTI-AGENT SYST (2011) 22:317-355
, 2011
"... In cooperative multi-agent systems, roles are used as a design concept when creating large systems, they are known to facilitate specialization of agents, and they can help to reduce interference in multi-robot domains. The types of tasks that the agents are asked to solve and the communicative capa ..."
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In cooperative multi-agent systems, roles are used as a design concept when creating large systems, they are known to facilitate specialization of agents, and they can help to reduce interference in multi-robot domains. The types of tasks that the agents are asked to solve and the communicative capabilities of the agents significantly affect the way roles are used in cooperative multi-agent systems. Along with a discussion of these issues about roles in multi-agent systems, this article compares computational models of the role allocation problem, presents the notion of explicitly versus implicitly defined roles, gives a survey of the methods used to approach role allocation problems, and concludes with a list of open research questions related to roles in multi-agent systems.
1 Simulating BDI-based Wireless Sensor Networks
"... Abstract—“Autonomic systems ” merge advancements in the field of multi-agent software design, dynamic analysis, and decentralized control in order to assist designers in constructing complex distributed systems. Wireless Sensor Networks (WSN) represent such systems, and may benefit from autonomic sy ..."
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Abstract—“Autonomic systems ” merge advancements in the field of multi-agent software design, dynamic analysis, and decentralized control in order to assist designers in constructing complex distributed systems. Wireless Sensor Networks (WSN) represent such systems, and may benefit from autonomic system designs that target distributed nodes in diverse and changing environments that interact over a wireless communication channel for decentralized problem solving. Multi-agent system techniques have been recently applied to WSN’s; however, due to hardware limitations nodes (agents) are not fully deliberative (or strong) reasoning systems. Since hardware increases rapidly it is expected that such systems may eventually be viable. In this paper we provide a generic, extensible, and deliberative simulator for testing interactions in autonomous WSN’s. The belief, desire, intention (BDI) agent model of Rao is used, as well as the Agentspeak language, and the Jason framework. Results from two simple WSN test scenarios show how (simulated) BDI agents might perform basic WSN functions.
Agent-based Development of Wireless Sensor Network Applications
"... Abstract — Due to the growing exploitation of wireless sensor networks (WSNs) for enhancing all major conventional application domains and enabling brand new application domains, the development of applications based on WSNs has recently gained a significant focus. Thus, design methods, middleware a ..."
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Abstract — Due to the growing exploitation of wireless sensor networks (WSNs) for enhancing all major conventional application domains and enabling brand new application domains, the development of applications based on WSNs has recently gained a significant focus. Thus, design methods, middleware and frameworks have been defined and made available to support high-level programming of WSN applications. However, even though many proposals do exist, more research efforts should still be devoted to the definition of WSN-oriented methodologies and tools fully supporting the development lifecycle of WSN applications. In this paper, we promote the use of the agent paradigm for the development of WSN applications. After providing motivations about synergies between agents and WSNs and a brief overview about agent technology for WSNs, we describe the use of MAPS (Mobile Agent Platform for Sun SPOTs), our agent platform for WSNs, for the development of applications in important application domains based on wireless body sensor networks (e.g. e-Health) and building sensor and actuator networks (e.g. energy efficient buildings). Finally, we delineate the characteristics on which fullfledged agent-oriented methodologies for WSN applications could be built. Keywords-Agent-based development; agent-oriented programming frameworks; wireless sensor networks; state-based programming; MAPS; body sensor networks; bulding sensor and actuator networks I.
Request-Driven Social Computing: Towards Next Generation Crowdsensing Systems
"... Abstract. In this position paper we first argue that increasingly, crowdsourcing and mobile computing are being used to collect, analyse, and share data in do-mains such as environment sensing and transportation. However, in current sys-tems users can only be a sensing data contributor as part of th ..."
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Abstract. In this position paper we first argue that increasingly, crowdsourcing and mobile computing are being used to collect, analyse, and share data in do-mains such as environment sensing and transportation. However, in current sys-tems users can only be a sensing data contributor as part of the crowd, or they can pose a single type of request to the crowd. This means that only small, indepen-dent, and homogeneous forms of interaction can be accommodated. Moreover, usually the crowd has no control over the way their resources are used. We argue that current crowdsourcing systems, and in particular, crowdsensing systems do not sufficiently respect the autonomy of users regarding sharing of data and re-sources (contribution autonomy), nor regarding retrieval of data and information (request autonomy). The major goal is therefore to build systems that facilitate more flexible inter-action, while respecting users ’ autonomy both regarding control over their re-sources, as well as control over the types of requests users can pose. Next gener-ation crowdsensing systems should thus carefully balance interdependency with autonomy. 1
Enforcing Soft Arc Consistency on DCOPs with Multiple Variables per Agent
"... Abstract. While most of search-based algorithms for optimal DCOP solving as-sume a single variable per agent, many DCOP instances could be more appropri-ately modeled with several variables per agent. There are several approaches to transform a DCOP instance with several variables per agent into ano ..."
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Abstract. While most of search-based algorithms for optimal DCOP solving as-sume a single variable per agent, many DCOP instances could be more appropri-ately modeled with several variables per agent. There are several approaches to transform a DCOP instance with several variables per agent into another instance with one variable per agent, on which existing algorithms could be applied. We present a hybrid approach that combines two of these transformations. Interest-ingly, our method can be connected with enforcing soft arc consistency during search, a technique that has been shown beneficial for search-based DCOP algo-rithms. Using BnB-ADOPT+ as the solving algorithm, preliminary experimental results on DCOP random instances indicate that this hybrid approach provides clear advantages over the two transformation approaches taken in isolation, and confirm also the benefits of soft arc consistency enforcement in this context. 1
Multi-Agents Supporting Reflection in a Middleware for Mission-Driven Heterogeneous Sensor Networks
"... The emerging applications using sensor networks technologies constitute a new trend requiring several different devices to work together and this partly autonomously. However, the integration and coordination of heterogeneous sensors in these emerging systems is still a challenge, especially when th ..."
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The emerging applications using sensor networks technologies constitute a new trend requiring several different devices to work together and this partly autonomously. However, the integration and coordination of heterogeneous sensors in these emerging systems is still a challenge, especially when the target application scenario is susceptible to constant changes. Such systems must adapt themselves in order to fulfill requirements that can also change during the system runtime. Due to the dynamicity of this context, system adaptations must take place very quickly, requiring system autonomous decisions to perform them without any human operator intervention, besides the first directions to the system. Thus a reflective behavior must be provided. This paper presents a reflective middleware that supports reflective behaviors to address adaptation needs of heterogeneous sensor networks deployed in dynamic scenarios. This middleware presents specific handling of users ’ requirements by representing them as missions that the network must accomplish with. These missions are then translated to network parameters and distributed over the network by means of the reasoning about network nodes capabilities and environment conditions. A multi-agent approach is proposed to perform this initial reasoning as well as the adaptations needed during the system runtime.
