Title : 
Route swarm: Wireless network optimization through mobility
         
        
            Author : 
Williams, Ryan ; Gasparri, Andrea ; Krishnamachari, Bhuma
         
        
            Author_Institution : 
Depts. of Electr. Eng. & Comput. Sci., Univ. of Southern California, Los Angeles, CA, USA
         
        
        
        
        
        
            Abstract : 
In this paper, we demonstrate a novel hybrid architecture for coordinating networked robots in sensing and information routing applications. The proposed INformation and Sensing driven PhysIcally REconfigurable robotic network (INSPIRE), consists of a Physical Control Plane (PCP) which commands agent position, and an Information Control Plane (ICP) which regulates information flow towards communication/sensing objectives. We describe an instantiation where a mobile robotic network is dynamically reconfigured to ensure high quality routes between static wireless nodes, which act as source/destination pairs for information flow. We demonstrate our propositions through simulation under a realistic wireless network regime.
         
        
            Keywords : 
mobile robots; telerobotics; ICP; INSPIRE; PCP; communication objective; hybrid architecture; information and sensing driven physIcally reconfigurable robotic network; information control plane; information flow regulation; information routing applications; mobile robotic network; networked robots; physical control plane; route swarm; sensing objective; static wireless nodes; wireless network optimization; wireless network regime; Bridges; Iterative closest point algorithm; Mobile nodes; Optimization; Robot sensing systems;
         
        
        
        
            Conference_Titel : 
Intelligent Robots and Systems (IROS 2014), 2014 IEEE/RSJ International Conference on
         
        
            Conference_Location : 
Chicago, IL
         
        
        
            DOI : 
10.1109/IROS.2014.6943092