This paper describes our research in technology for the management and control of distributed energy resource agents. An agent-based management and control system is being developed to enable largescale deployment of distributed energy resources. Local intelligent agents will allow consumers who are connected at low levels in the distribution network to manage their energy requirements and part...

The random deployment process and the unpredictable movement of sensor nodes lead to a high demand for an exact and reliable self localization process. Existent methods are mostly not feasible on strongly resource limited sensor nodes with an absolute minimum of energy. Thus, this paper describes the "Distributed Least Squares (DLS)"-algorithm that reduces the needed amount of energy to a minim...

As distributed computing becomes more widespread, both in high-energy physics and in other applications, centralized operating systems will gradually give way to distributed ones. In this paper we discuss some current research on five issues that are central to the design of distributed operating systems: communications primitives, naming and protection, resource management, fault tolerance, an...

Due to the ever-increasing popularity of resourcehungry and delay-constrained mobile applications, the computation and storage capabilities of remote cloud has partially migrated towards the mobile edge, giving rise to the concept known as Mobile Edge Computing (MEC). While MEC servers enjoy the close proximity to the end-users to provide services at reduced latency and lower energy costs, they...

This paper proposes a multi-agent system for energy resource scheduling of an islanded power system with distributed resources, which consists of integrated microgrids and lumped loads. Distributed intelligent multiagent technology is applied to make the power system more reliable, efficient and capable of exploiting and integrating alternative sources of energy. The algorithm behind the propos...

Power consumption is a crucial characteristic of modern hardware, both for mobile, battery-driven devices and for high-end servers. Servers are increasingly highlyintegrated in modern data centers and the power density per unit area is rising. This also induces higher heat densities. Costs for electricity supply and for necessary cooling equipment are not insignificant anymore. Higher clock spe...

Wireless sensor networks have extraordinary resource constraints that demand low power consumption in order to extend longevity. Designing distributed algorithms to work on low-power, resource-constrained devices is a challenging problem and requires a different approach than a typical distributed environment. In this paper, we examine one such algorithm, Trickle, in depth, experimentally measu...

A novel distributed energy resources (DER) allocation method focused on grid constraints that avoids topological bias is proposed for distribution networks. technology-agnostic approach used, where a non-bias of export capacity (NAEC) not specific to generation type calculated. Moreover, the NAEC extended from an into hosting (HC) using statistical approach. The methods are tested IEEE 33-bus s...

The rapid variation of wireless channels and feedback delay make the available channel state information (CSI) outdated in dynamic wireless multi-hop networks, which significantly degrades the accuracy of cross-layer resource allocation. To deal with this problem, a cross-layer resource allocation scheme is proposed for wireless multi-hop networks by taking the outdated CSI into account and bas...