Now showing items 21-32 of 32

    • Kalman Filtering and Clustering in Sensor Networks 

      Talebi, Sayed Pouria; Werner, Stefan; Koivunen, Visa (Chapter, 2018)
      In this work, a distributed Kalman filtering and clustering framework for sensor networks tasked with tracking multiple state vector sequences is developed. This is achieved through recursively updating the likelihood of ...
    • Machine Learning-based Occupancy Estimation Using Multivariate Sensor Nodes 

      Singh, Adarsh Pal; Jain, Vivek; Chaudhari, Sachin; Kraemer, Frank Alexander; Werner, Stefan; Garg, Vishal (Chapter, 2019)
      In buildings, a large chunk of energy is spent on heating, ventilation and air conditioning systems. One way to optimize their usage is to make them demand-driven depending on human occupancy. This paper focuses on accurately ...
    • MMSE filter design for full-duplex filter-and-forward MIMO relays under limited dynamic range 

      Antonio-Rodrigues, Emilio; Werner, Stefan; Lopez-Valcarce, Roberto; Wichman, Risto (Journal article; Peer reviewed, 2019)
      We study the problem of optimizing the end-to-end performance of a full-duplex filter-and-forward MIMO relay link, consisting of a source, a relay, and a destination node, by employing linear filtering at each node. The ...
    • Nonlinear adaptive filtering with kernel set-membership approach 

      Chen, Kewei; Werner, Stefan; Huang, Yih-Fang; Kuh, Anthony (Peer reviewed; Journal article, 2020)
      This paper develops nonlinear kernel adaptive filtering algorithms based on the set-membership filtering (SMF) framework. The set-membership-based filtering approach is distinct from the conventional adaptive filtering ...
    • Optimal Scheduling Policy for Spatio-temporally Dependent Observations using Age-of-Information 

      Håkansson, Victor Wattin; Dasanadoddi Venkategowda, Naveen Kumar; Werner, Stefan (Chapter, 2020)
      This paper proposes an optimal scheduling policy for a remote estimation problem, where sensor observations of two spatio-temporally correlated processes are broadcasted to two remote estimators. At each time instant only ...
    • Price-aware renewable energy management with transmission losses 

      Leithon, Johann; Werner, Stefan; Koivunen, Visa; Talebi, Sayed Pouria (Chapter, 2019)
      In this paper we propose a genie-aided strategy to optimize the use of renewable energy (RE) in a community of households with shared access to storage and RE generation facilities. The households are spread over a limited ...
    • Privacy-Preserving Distributed Maximum Consensus 

      Dasanadoddi Venkategowda, Naveen Kumar; Werner, Stefan (Peer reviewed; Journal article, 2020)
      We propose a privacy-preserving distributed maximum consensus algorithm where the local state of the agents and identity of the maximum state owner is kept private from adversaries. To that end, we reformulate the maximum ...
    • Privacy-preserving distributed precoder design for decentralized estimation 

      Dasanadoddi Venkategowda, Naveen Kumar; Werner, Stefan (Chapter, 2018)
      We study privacy-preserving precoder design for decentralized estimation in wireless sensor networks where the sensor nodes want their local information such as the channel state information, observation matrices, and ...
    • Quaternion-valued distributed filtering and control 

      Talebi, Sayed Pouria; Werner, Stefan; Mandic, Danilo (Peer reviewed; Journal article, 2020)
      This article presents a unified framework for filtering and control of quaternion-valued state vector processes through multiagent networked systems. To achieve this goal, the filtering problem in sensor networks is ...
    • Renewable energy optimization with centralized and distributed generation 

      Leithon, Johann; Werner, Stefan; Koivunen, Visa (Chapter; Peer reviewed, 2018)
      We propose optimization strategies for cooperating households with renewable energy generation and storage facilities. We consider two configurations: 1) households with shared access to an energy farm, and 2) households ...
    • Storage management in a shared solar environment with time-varying electricity prices 

      Leithon, Johann; Werner, Stefan; Koivunen, Visa (Journal article; Peer reviewed, 2019)
      Internet of Things technologies will enable smart energy planning, which in turn will expedite the adoption of renewable energy (RE). In this paper, we propose a mathematical framework to optimize the use of RE in a shared ...
    • Tracking dynamic systems in alpha-stable environments 

      Talebi, Sayed Pouria; Werner, Stefan; Mandic, Danilo (Chapter, 2019)
      In order to accommodate for modern adaptive filtering applications, the classic adaptive filtering paradigm is considered from a more general perspective. The new formulation allows for time dependent variations in the ...