7 research outputs found
Experimental Study on Low Power Wide Area Networks (LPWAN) for Mobile Internet of Things
In the past decade, we have witnessed explosive growth in the number of
low-power embedded and Internet-connected devices, reinforcing the new
paradigm, Internet of Things (IoT). The low power wide area network (LPWAN),
due to its long-range, low-power and low-cost communication capability, is
actively considered by academia and industry as the future wireless
communication standard for IoT. However, despite the increasing popularity of
`mobile IoT', little is known about the suitability of LPWAN for those mobile
IoT applications in which nodes have varying degrees of mobility. To fill this
knowledge gap, in this paper, we conduct an experimental study to evaluate,
analyze, and characterize LPWAN in both indoor and outdoor mobile environments.
Our experimental results indicate that the performance of LPWAN is surprisingly
susceptible to mobility, even to minor human mobility, and the effect of
mobility significantly escalates as the distance to the gateway increases.
These results call for development of new mobility-aware LPWAN protocols to
support mobile IoT.Comment: To appear at 2017 IEEE 85th Vehicular Technology Conference (VTC'17
Spring
Markov Decision Processes with Applications in Wireless Sensor Networks: A Survey
Wireless sensor networks (WSNs) consist of autonomous and resource-limited
devices. The devices cooperate to monitor one or more physical phenomena within
an area of interest. WSNs operate as stochastic systems because of randomness
in the monitored environments. For long service time and low maintenance cost,
WSNs require adaptive and robust methods to address data exchange, topology
formulation, resource and power optimization, sensing coverage and object
detection, and security challenges. In these problems, sensor nodes are to make
optimized decisions from a set of accessible strategies to achieve design
goals. This survey reviews numerous applications of the Markov decision process
(MDP) framework, a powerful decision-making tool to develop adaptive algorithms
and protocols for WSNs. Furthermore, various solution methods are discussed and
compared to serve as a guide for using MDPs in WSNs
Low Power Wide Area Networks (LPWAN): Technology Review And Experimental Study on Mobility Effect
In the past decade, we have witnessed explosive growth in the number of low-power embedded and Internet-connected devices, reinforcing the new paradigm, Internet of Things (IoT). IoT devices like smartphones, home security systems, smart electric meters, garage parking indicators, etc., have penetrated deeply into our daily lives. These IoT devices are increasingly attached and operated in mobile objects like unmanned vehicles, trains, airplanes, etc. The low power wide area network (LPWAN), due to its long-range, low-power and low-cost communication capability, is actively considered by academia and industry as the future wireless communication standard for IoT. However, despite the increasing popularity of mobile IoT, little is known about the suitability of LPWAN for those mobile IoT applications in which nodes have varying degrees of mobility. To fill this knowledge gap, in this thesis:1. We present a thorough review on LPWAN technology focusing on the mobility effect. 2. We conduct an experimental study to evaluate, analyze, and characterize LPWAN in both indoor and outdoor mobile environments.Our experimental results indicate that the performance of LPWAN is surprisingly susceptible to mobility, even to minor human mobility, and the effect of mobility significantly escalates as the distance to the gateway increases. These results call for development of new mobility-aware LPWAN protocols to support mobile IoT
Markov decision processes with applications in wireless sensor networks: A survey
Ministry of Education, Singapore under its Academic Research Funding Tier