Due to rapid developments of smart devices and mobile applications, there is an urgent need for a new human-in-the-loop architecture with better system efficiency user experience. Compared conventional device-based human-computer interactive (HCI) methods, device-free technology WiFi provides HCI method promising providing user-perceived quality-of-experience. Being essential human detection has gained increasing interest, which through-the-wall (TTW) great challenge. Existing TTW systems...

Regular free-weight exercise helps to strengthen the body's natural movements and stabilize muscles that are important strength, balance, posture of human beings. Prior works have exploited wearable sensors or RF signal changes (e.g., WiFi Blue tooth) for activity sensing, recognition countingetc.. However, none them incorporate three key factors necessary a practical monitoring system: recognizing activities on site, assessing their qualities, providing useful feedbacks bodybuilder...

Device-free passive human activity recognition plays an important role in many applications, such as smart homes, identification, health care, etc. However, existing systems either require a dedicated device or do not meet the scenarios of signals through wall. To address this challenge, we present TW-See, device-free system with Wi-Fi signals, which does any and meets TW-See mainly exploits two key techniques to recognize different activities. First, propose opposite robust PCA (Or-PCA)...

Physical-layer identification utilizes unique features of wireless devices as their fingerprints, providing authenticity and security guarantee. Prior physical-layer techniques on radio frequency (RFID) tags require nongeneric equipments are not fully compatible with existing standards. In this paper, we propose a novel system, GenePrint, for UHF passive tags. The GenePrint prototype system is implemented by commercial reader, USRP-based monitor, off-the-shelf Our solution generic completely...

We propose an accurate acoustic direction finding scheme, Swadloon, according to the arbitrary pattern of phone shaking in rough horizontal plane. Swadloon tracks displacement smartphone relative with resolution less than 1 millimeter. The is then obtained by combining velocity from one inertial sensors. Major challenges implementing are measure precisely and estimate accurately when speed phone-shaking low changes arbitrarily. rigorous methods address these challenges, apply several case...

Sign language is a natural and fully-formed communication method for deaf or hearing-impaired people. Unfortunately, most of the state-of-the-art sign recognition technologies are limited by either high energy consumption expensive device costs have difficult time providing real-time service in daily-life environment. Inspired previous works on motion detection with wearable devices, we propose Speaker - real-time, robust, user-friendly American (ASLR) system affordable portable commodity...

WiFi has become a pervasive communication medium in connecting various devices of WLAN and IoT. However, connections are vulnerable to the impersonation attack from rogue access points (AP) or devices, whose SSID and/or MAC/IP address identical legitimate devices. This kind is difficult countermeasure with traditional network security mechanisms. In this paper, we present novel mechanism detect identify AP using environment-independent characteristics extracted channel state information...

Regular free-weight exercise helps to strengthen natural movements and stabilize muscles that are important strength, balance, posture of human beings. Prior works have exploited wearable sensors or RF signal changes for activity sensing, recognition, counting, etc.. However, none them incorporated three key factors necessary a practical monitoring system: recognizing activities on site, assessing their qualities, providing useful feedbacks the bodybuilder promptly. Our FEMO system provides...

The recent breakthrough in Wireless Power Transfer (WPT) provides a promising way to support rechargeable sensors enrich series of energy-consuming applications. Unfortunately, two major design restrictions hinder the applicability sensor networks. First, most placement schemes are focusing on sensing tasks instead charging utility, which leaves considerably high performance gap towards optimal result. Second, scheduling is non-flexible, where full or nothing policy suffers from relatively...

Wireless Power Transfer (WPT) has emerged into an inspiringly commercial and applicable era to charge devices. Existing studies mainly focus on general charging patterns metrics while overlooking the collaborated task execution, which incurs inefficiency among nodes. In this paper we first advocate tasks-driven mobile scheduling respect energy requirement diversity. Specially, strategy is considered maximize overall utility concerns sensor selection cooperation. Unfortunately, solving...

Thanks to the increasing number and massive coverage, delivery drones, equipped with various sensors, have demonstrated significant but unexplored potentials for large-scale low-cost urban sensing during package delivery. In this paper, we propose novel studies on reutilization of such drone resources fill void in crowdsensing. Accounting interdependency between flying/sensing weight, jointly optimize route selection, time, weight allocation, maximize utility under drones' energy...

Leveraging a wireless multipath channel as the source of common randomness, many key generation methods have been proposed according to information-theory security. However, existing schemes suffer low rate and entropy, mainly rely on nodes' mobility. To overcome this limitation, we present protocol with known artificial interference, named SmokeGrenade, new physical-layer approach for secret in narrowband fading channel. Our scheme utilizes interference contribute change measured values...

Bloom filter is effective, space-efficient data structure for concisely representing a set and supporting approximate membership queries. Traditionally, researchers often believe that it possible returns false positive, but will never return negative under well-behaved operations. By investigating the mainstream variants, however, we observe does negatives in many scenarios. In this work, show undetectable incorrect deletion of positive items detectable multiaddress are two general causes...

Coexistence of Wi-Fi and ZigBee in 2.4 GHz ISM band is a long standing challenging problem. Previous solutions either require modifications current protocols or re-configurations, which not feasible large-scale wireless sensor networks. In this paper, we present WizBee, coexistence system using single-antenna sink without changing design. WizBee based on an observation that signal about 5 to 20 dB stronger than symmetric area, leaves much room for applying interference cancelation technique...

We propose an accurate acoustic direction finding scheme, Swadloon, according to the arbitrary pattern of phone shaking in a rough horizontal plane. Swadloon leverages sensors smartphone without requirement any specialized devices. Our design exploits key observation: relative displacement and velocity phone-shaking movement corresponds subtle phase frequency shift Doppler effects experienced received signal by phone. tracks with resolution less than 1 millimeter. The is then obtained...

Compressive sensing (CS)-based in-network data processing is a promising approach to reduce packet transmission in wireless sensor networks. Existing CS-based gathering methods require large number of sensors involved each CS measurement gathering, leading the relatively high cost. In this paper, we propose sparsest random scheduling for compressive scheme, which decreases cost from O(N) O(log(N)) without increasing measurements as well. our present matrix, where row has only one nonzero...

Recent studies show that Wi-Fi interference has been a major problem for low power urban sensing technology ZigBee networks. Existing approaches dealing with such interferences often modify either the nodes or nodes. However, massive deployment of and uncooperative users call innovative cross-technology coexistence without intervening legacy systems. In this work, we investigate when is interested signal. Typically, duration transmitting data packet longer than packet. Mitigating short...

This paper presents WordRecorder, an efficient and accurate handwriting recognition system that identifies words using acoustic signals generated by pens paper, thus enabling ubiquitous recognition. To achieve this, we carefully craft a new deep-learning based sensing framework with three major components, i.e., segmentation, classification, word suggestion. First, design dual-window approach to segment the raw signal into series of letters exploiting subtle features handwriting. Then...

This paper explores the possibility of extending input and interactions beyond small screen mobile device onto ad hoc adjacent surfaces, e.g., a wooden tabletop with acoustic signals. While existing finger tracking approaches employ active signal fixed frequency, our proposed system Ipanel employs signals generated by sliding fingers on table for tracking. Different from tracking, frequency finger-table keeps changing, making accurate much more challenging than traditional fix speaker....

Radio resource management (RRM) is crucial for improving utilization in heterogeneous wireless networks. Existing work attempts to exploit the network diversity gain throughput improvement users, which, however, neglects impact of user demand on RRM. Armed with idea that ultimate goal communications serve users personalized demand, we introduce another dimension potential performance gain, gain. This derives from elaborate matching between and radio resource, which can not be directly...

Delivery delay and communication costs are two conflicting design issues for mobile opportunistic networks with nonreplenishable energy resources. In this paper, we study the optimal data dissemination resource constrained networks, i.e., delay-constrained least-cost multicasting in networks. We formally formulate problem introduce a centralized heuristic algorithm which aims to discover tree multicasting, order meet constraint achieve low cost. While above can be implemented by each...

RFID technology has recently been exploited for not only identification but also sensing including trajectory tracking and gesture recognition. While contact-based (an tag is attached to the target of interest) achieved promising results, contactless still faces severe challenges such as low accuracy situation gets even worse when non-static, restricting its applicability in real world deployment. In this work, we present TagRay, a RFID-based system, which significantly improves accuracy,...

Intelligent Transportation Systems (ITSs) have been widely deployed to provide traffic sensing data for a variety of smart applications. However, the inevitable and ubiquitous missing potentially compromises performance ITSs even undermines Therefore, accurate real-time recovery is crucial its related services, especially large-scale networks. To leverage characteristics in transportation networks recovery, we first conduct experimental explorations on dataset an ITS further quantify...

We focus on the network selection problem in heterogeneous wireless networks. Many traditional approaches select best according to quality of service (QoS)-related criteria, which neglects diverse user demands. aim networks maximizing experience (QoE) users. When availability and dynamics state information (NSI) are considered, most existing cannot make effective decisions since they vulnerable uncertainty NSI. To address this issue, we introduce idea online learning for selection. In paper,...

Received Signal Strength (RSS) maps provide fundamental information for mobile users, aiding the development of conflict graph and improving communication quality to cope with complex unstable wireless channels. In this paper, we present CARM: a scheme that exploits crowd-sensing construct outdoor RSS using smartphone measurements. An alternative yet impractical approach in literature is appeal professionals customized devices. Our work distinguishes itself from previous studies by...