We are interested in securing the operation of robot swarms composed of heterogeneous agents that collaborate by exploiting aggregation mechanisms. Since any given robot type plays a role that may be critical in guaranteeing continuous and failure-free operation of the system, it is beneficial to conceal individual robot types and, thus, their roles. In our work, we assume that an adversary gai...

--Generally, aggregative operations are algebraic, such as the addition or multiplication of received data, or statistical operation, such as a median, a minimum, or a maximum of a data set. It reduces a large amount of transmission is the most practical technique. Although data aggregation could significantly reduce transmission, it is vulnerable to some attacks. Some of the existing schemes d...

The construction of distributed algorithms for matrix computations built on top of distributed data aggregation algorithms with randomized communication schedules is investigated. For this purpose, a new aggregation algorithm for summing or averaging distributed values, the push-flow algorithm, is developed, which achieves superior resilience properties with respect to failures compared to exis...

Data cube construction is a commonly used operation in data warehouses. Because of the volume of data that is stored and analyzed in a data warehouse and the amount of computation involved in data cube construction, it is natural to consider parallel machines for this operation. This paper presents two new algorithms for parallel data cube construction, along with their theoretical analysis and...

Microsensors operate under severe energy constraints and should be deployed in large numbers without any pre-configuration. We construct a generalized self-clustering algorithm, called Low-energy Localized Clustering (LLC). It integrates the ideas of two self-configuring clustering algorithms: the Localized algorithm and the Low Energy Adaptive Clustering Hierarchy algorithm. LLC covers a range...

Data aggregation is a critical and widely-used operation in wireless sensor networks (WSNs). Data aggregation scheduling (DAS) aims to find an interference-free scheduling for data aggregation with the minimum latency. Most existing algorithms for the DAS problem, unfortunately, assume that nodes are always active, and hence are not suitable for dutycycled scenarios. In this paper, we investiga...

With the escalating complexity, aggregation, and integration of software in enterprise, mobile, and pervasive arenas, it becomes increasingly difficult to compose, deploy, and operate applications that span a distributed and diverse software landscape. Furthermore, the increasing aggregation of software artifacts, including platforms, frameworks, components, services, and tools, lack a standard...

The paper deals with the operation of fuzzy weighted average of fuzzy numbers. The operation can be applied to the aggregation of partial fuzzy evaluations in fuzzy models of multiple criteria decision making and to the computation of expected fuzzy evaluations of alternatives in discrete fuzzy-stochastic models of decision making under risk. Normalized fuzzy weights figuring in the operation h...

Fuzzy multiple criteria decision making (FMCDM) problem is an important issue in the field of decision making. Traditional weighted method is on the basis of disputed arithmetic operation and comparison operation on fuzzy numbers, the accuracy of decision is doubtful. In this paper, a new method is proposed to solve the FMCDM problem based on the generalized fuzzy numbers and power average oper...