Time elapsed till an event of interest is often modeled using the surviv...
In this paper, we present a drone-based delivery system that assumes to ...
In the era of a data-driven society with the ubiquity of Internet of Thi...
Smart sensing provides an easier and convenient data-driven mechanism fo...
With the enhancement of people's living standards and rapid growth of
co...
Federated learning offers a framework of training a machine learning mod...
Opportunistic computing is a paradigm for completely self-organised perv...
Cyber-Physical convergence, the fast expansion of the Internet at its ed...
Deep learning-based super-resolution methods have shown great promise,
e...
Traditional selfish routing literature quantifies inefficiency in
transp...
This paper deals with random sensors initially randomly deployed on the ...
Online social media provides a channel for monitoring people's social
be...
In this paper, we study the Orienteering Aisle-graphs Single-access Prob...
Unmanned Aerial Vehicles (UAVs) or drones are increasingly used for urba...
In this paper, we study the feasibility of sending drones to deliver goo...
Reliable social connectivity and transmission of data for popular nodes ...
Socially-aware networking is an emerging paradigm for intermittently
con...
Mobile crowdsensing is a people-centric sensing system based on users'
c...
With businesses deploying a growing number of Internet of Things (IoTs),...
Fog computing in 5G networks has played a significant role in increasing...
One of the key challenges to the IoT's success is how to secure and anon...
Incentives are key to the success of crowdsourcing which heavily depends...
Emergence of smartphone and the participatory sensing (PS) paradigm have...
Mobile crowdsensing harnesses the sensing power of modern smartphones to...
Mobile crowdsensing allows data collection at a scale and pace that was ...