ANEJOS: a java based simulator for ad hoc networks

Ad hoc networks are multi-hop wireless networks where mobile devices communicate using a shared, low power, low bandwidth channel without any wired infrastructure: each node acts also as a router of its neighbors. Ad hoc networks protocol design is still a new and growing research area; there currently is an IETF Working Group working on the definition of a standard for such networks. Various proposals are being evaluated and the need for a common comparison framework arises. This paper presents a simulator called ANEJOS (ad hoc networks Java simulator). The simulator is written in Java and is based on the SimJava tool and allows to be adapted to various routing protocols. It also allows considering other relevant aspects to ad hoc networks, like mobility patterns and traffic generation patterns. ANEJOS shared our models with other researchers through the internet, we can use Java applets inside HTML pages containing the whole simulator. © 2001 Elsevier Science B.V. All rights reserved.

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Mobile robots usually employ dedicated networks to share data and control in an open environment. These networks, called adhoc networks, are multi-hop wireless networks where the mobile devices communicate using a shared, low power, low bandwidth channel. Since the classical routing algorithms of the wired networks cannot be used, new communication and routing protocols are being developed. In this paper we present a new communication protocol that solves data transfer problems, like packet routing, in an ad-hoc network used to control a cloud of robots. This protocol results to be efficient in a situation where a dedicated node, called the coordinator, controls the activity of all the robots, therefore being one of the end-points of any data interchange.

A Communication Protocol for Clouds of Mobile Robots

—The ongoing integration of controllable distributed energy resources (DER) makes distribution networks capable of aggregating ﬂexible power and providing ﬂexibility services at both transmission and distribution levels. The aggregated ﬂexibility of an active distribution network (ADN) can be represented as its feasible operating area in the P-Q space. The limits of this area are pivotal for arranging ﬂexibility markets and coordinating transmission and distribution system operators (TSOs and DSOs). However, motivated by the current technical limitations of distribution networks (e.g., protection schemes), existing literature on ADN ﬂexibility and TSO-DSO coordination mostly focuses on radial networks, overlooking the potential beneﬁts of network reconﬁguration. This paper, using a realistic meshed distribution system from the UK and the exact ACOPF model for ﬂexibility estimation, demonstrates that network reconﬁguration can increase the limits of ADN aggregated ﬂexibility and improve the economic efﬁciency of ﬂexibility markets.

Miguel Sánchez López

Papers

A Communication Protocol for Clouds of Mobile Robots

Impacts of Distribution Network Reconfiguration on Aggregated DER Flexibility