E-raamat: Structural Information and Communication Complexity: 26th International Colloquium, SIROCCO 2019, L'Aquila, Italy, July 1-4, 2019, Proceedings

A Topological Perspective on Distributed Network Algorithms.- On Sense of Direction and Mobile Agents.- Locality of not-so-weak coloring.- Near-gathering of energy-constrained mobile agents.- Optimal Multi Broadcast with Beeps using Group Testing.- Tracking Routes in Communication Networks.- Positional Encoding by Robots with Non-Rigid Movements.- Arbitrary Pattern Formation by Asynchronous Opaque Robots with Lights.- Breaking the Linear-Memory Barrier in MPC: Fast MIS on Trees with Strongly Sublinear Memory.- Collaborative Delivery on a Fixed Path with Homogeneous Energy-Constrained Robots.- Asynchronous Rendezvous with Different Maps.- Gathering Synchronous Robots in Graphs: from general properties to dense and symmetric topologies.- Time-Energy Tradeoffs for Evacuation by Two Robots in the Wireless Model.- Evacuating Two Robots from a Disk: A Second Cut.- Distributed pattern formation in a ring.- On Distributed Merlin-Arthur Decision Protocols.- Anonymous Read/Write Memory: Leader Election and Desanonymization.- Faster Construction of Overlay Networks.- Partial gathering of mobile agents without identifiers or global knowledge in asynchronous unidirectional rings.- Set Agreement Power is not a Precise Characterization for Oblivious Deterministic Anonymous Objects.- Making Randomized Algorithms Self-Stabilizing.- How to Color a French Flag{Biologically Inspired Algorithms for Scale-Invariant Patterning.- Self-Adjusting Line Networks.- Mutual Visibility for Asynchronous Robots.- Infinite Grid Exploration by Disoriented Robots.- A Bounding Box Overlay for Competitive Routing in Hybrid Communication Networks.- Mobile Robots with Uncertain Visibility Sensors: Possibility Results and Lower Bounds.- A strongly-stabilizing protocol for spanning tree construction against a mobile Byzantine fault.- Average-based Population Protocols : Explicit and Tight Bounds of the Convergence Time.- Visiting Infinitely Often the Unit Interval while Minimizing the Idle-time of High Priority Points.