Agreement Technologies: Second International Conference, AT by Munindar P. Singh (auth.), Carlos Iván Chesñevar, Eva

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By Munindar P. Singh (auth.), Carlos Iván Chesñevar, Eva Onaindia, Sascha Ossowski, George Vouros (eds.)

This quantity constitutes the refereed lawsuits of the second one overseas convention on contract applied sciences, AT 2013, held in Beijing, China, in August 2013. The 15 revised complete papers awarded including invited talks have been conscientiously reviewed and chosen from a number of submissions and concentrate on subject matters equivalent to semantic applied sciences, normative multiagent structures, digital corporations and digital associations, argumentation and negotiation, belief and recognition, functions of contract applied sciences, contract applied sciences architectures, environments and methodologies, in addition to interdisciplinary foundations of contract technologies.

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Extra info for Agreement Technologies: Second International Conference, AT 2013, Beijing, China, August 1-2, 2013. Proceedings

Example text

More formally, we represent the set of prosumers as the set of self-interested agents A = {ai | 0 < i ≤ n} that always aim at maximizing their incurred utility. Each agent a ∈ A is characterized by its baseline prefered consumption or generation, discretized over time slots T = {t1 , . . -C. Mihailescu, M. Klusch, and S. Ossowski (Equation 1). In doing so, we associate with each consumer agent ai the set of deferrable loads lj ∈ Li (in kW) and their initial starting time slots sj set by the user, as well as their duration δj ; ϕj determines the active periods for each load.

Thus, the willingness of ai to act as a leader of P (ai ) depends on three factors that can be identified in equation (2). The first factor, prestige, is an average of the adherence level of the members of P (ai ) towards ai . The second factor, capacity, considers the available energy of the node to act as a leader. This value is a proportion of the current energy level of the node E(ai ) minus the security energy level Esl (energy needed to send the last disconnection message ) over the maximum energy level of the battery Emax .

Although these approaches are distributed our approach fundamentally differs from them in the way the cluster head is chosen. For this decision, we take into account the characteristics of the node, its state and the model of the node maintained by its neighbours, instead of doing it randomly or just based on the node’s available energy, as previous works do. A recent centralised approach to this clustering problem is presented in [9]. In this case, the sink determines the cluster heads and runs an algorithm to reduce the amount of transmitted data.

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