Algorithms for Sensor Systems - Info and Reading Options

Google Books:

This book constitutes revised selected papers from the 13th International Symposium on Algorithms and Experiments for Wireless Sensor Networks, ALGOSENSORS 2017, held in Vienna, in September 2017. The 17 full papers presented in this volume were carefully reviewed and selected from 30 submissions. ALGOSENSORS is an international symposium dedicated to the algorithmic aspects of wireless networks. Originally focused on sensor networks, it now covers algorithmic issues arising in wireless networks of all types of computational entities, static or mobile, including sensor networks, sensor-actuator networks, autonomous robots. The focus is on the design and analysis of algorithms, models of computation, and experimental analysis.

Open Data:

Intro -- Preface -- Organization -- Contents -- Collaborative Delivery by Energy-Sharing Low-Power Mobile Robots -- 1 Introduction -- 2 Preliminaries -- 3 An Efficient Algorithm for COLLABORATIVEDELIVERY with Chosen Placement -- 3.1 The Energy Flow Hypergraph -- 3.2 Properties of Optimal Solutions -- 3.3 Canonical Nodes -- 3.4 Completing the Proof of Theorem 3 -- 4 Concluding Remarks -- References -- Data Collection in Population Protocols with Non-uniformly Random Scheduler -- 1 Introduction -- 2 Model and Definitions -- 3 Lower Bounds on the Expected Convergence Time -- 4 Protocol ``Transfer to the Faster'' (TTF) -- 5 Lazy TTF -- 5.1 Convergence Time of Lazy TTF -- 6 Numerical Results -- 6.1 The Relation Between Twhp(TTF) and Its Upper Bound -- 6.2 Gaps on Time and Energy Between TTF and Lazy TTF() -- References -- Parameterized Algorithms for Power-Efficient Connected Symmetric Wireless Sensor Networks -- 1 Introduction -- 2 Parameterizing by the Number of Connected Components Induced by Obligatory Edges -- 3 Parameterizing by the Feedback Edge Number -- 4 Parameterized Hardness and Inapproximability -- 5 Conclusion -- Fast Distributed Approximation for Max-Cut -- 1 Introduction -- 1.1 The Challenge -- 1.2 Our Contribution -- 1.3 Background and Related Work -- 2 Preliminaries -- 3 Clustering-Based Algorithms -- 3.1 A Randomized Distributed Graph Decomposition -- 3.2 A Randomized (1-)-Approximation Algorithm for Max-Cut on a Bipartite Graph -- 3.3 A Randomized (1-)-Approximation Algorithm for General Graphs -- 4 Coloring-Based Algorithms -- 5 A Deterministic LOCAL Algorithm -- References -- Barrier Coverage with Uniform Radii in 2D -- 1 Introduction -- 1.1 Background -- 1.2 Our Results -- 2 A Single Barrier -- 2.1 Order-Preserving Covering Assignments -- 2.2 Discrete Sensor Locations -- 2.3 Dynamic Programming Formulation for a Single Barrier

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