Future wireless networks have a substantial potential in terms of supporting a broad range of
complex compelling applications both in military and civilian fields, where the users are able …

Sensing cost and data quality are two primary concerns in mobile crowd sensing. In this
article, we propose a new crowd sensing paradigm, sparse mobile crowd sensing, which …

Data quality and budget are two primary concerns in urban-scale mobile crowdsensing
applications. In this paper, we leverage the spatial and temporal correlation among the data …

A comprehensive analysis on the energy-efficient strategy in static Wireless Sensor
Networks (WSNs) that are not equipped with any energy harvesting modules is conducted in …

For a seamless deployment of the Internet of Things (IoT), there is a need for self-organizing
solutions to overcome key IoT challenges that include data processing, resource …

The recent advances of compressive sensing (CS) have witnessed a great potential of
efficient compressive data gathering (CDG) in wireless sensor network systems (WSNSs) …

Automatic monitoring system is one of the main means to ensure the safety of underground
engineering construction. This paper summarizes the current international research and …

Recently, mobile crowd sensing (MCS) is captivating growing attention because of their
suitability for enormous range of new types of context-aware applications and services. This …

This letter proposes a novel distributed compressed estimation scheme for sparse signals
and systems based on compressive sensing techniques. The proposed scheme consists of …

The sparse data in PM2. 5 air quality monitoring systems is frequently happened on large-
scale smart city sensing applications, which is collected via massive sensors. Moreover, it …