Authors:
Monir H. Sharker
and
Hassan A. Karimi
Affiliation:
University of Pittsburgh, United States
Keyword(s):
Pedestrian Navigation Services, Smartphone, Cloud Computing, Energy-Efficient Configuration, Load Balancing.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Economic Models of Energy Efficiency
;
Energy and Economy
;
Energy Management Systems (EMS)
;
Energy Monitoring
;
Energy-Aware Systems and Technologies
;
Energy-Efficient Transmission Technologies
;
Geographic Information Systems (GIS)
;
Green Computing Models, Methodologies and Paradigms
;
Green Software Engineering Methodologies and Tools
;
Integration of Smart Appliances
;
Load Balancing in Smart Grids
;
Mobile Software and Services
;
Optimization Techniques for Efficient Energy Consumption
;
Pervasive Computing
;
Real-Time Systems
;
Smart Grids
;
Sustainable Computing and Communications
;
Telecommunications
;
Wireless Information Networks and Systems
Abstract:
Smartphones have been playing a major role as personal navigation aids to pedestrians, among other travelers. Pedestrian Navigation Services (PNSs) on smartphones face challenges such as limited battery power, relatively lower computational speed, limited storage capacities, and varying quality of available networks. Automatic configuration of PNS components is very important to address these challenges. In this paper, we present a novel approach for optimum configuration of components and computations of PNSs between smartphones and cloud platforms. An algorithm is developed based on three models, Minimum Computation (MinComp), Minimum Communication (MinComm), and Balanced Computation-Communication (BalCC), to allow smartphones to operate navigation services optimally in a distributed environment over cloud platforms. Each model was simulated by using various values for each parameter.