Mobile telephony

About: Mobile telephony is a research topic. Over the lifetime, 38008 publications have been published within this topic receiving 553646 citations.

Collaborative Mobile Charging

Abstract: The limited battery capacity of sensor nodes has become one of the most critical impediments that stunt the deployment of wireless sensor networks (WSNs). Recent breakthroughs in wireless energy transfer and rechargeable lithium batteries provide a promising alternative to power WSNs: mobile vehicles/robots carrying high volume batteries serve as mobile chargers to periodically deliver energy to sensor nodes. In this paper, we consider how to schedule multiple mobile chargers to optimize energy usage effectiveness, such that every sensor will not run out of energy. We introduce a novel charging paradigm, collaborative mobile charging, where mobile chargers are allowed to intentionally transfer energy between themselves. To provide some intuitive insights into the problem structure, we first consider a scenario that satisfies three conditions, and propose a scheduling algorithm, PushWait, which is proven to be optimal and can cover a one-dimensional WSN of infinite length. Then, we remove the conditions one by one, investigating chargers’ scheduling in a series of scenarios ranging from the most restricted one to a general 2D WSN. Through theoretical analysis and simulations, we demonstrate the advantages of the proposed algorithms in energy usage effectiveness and charging coverage.

Providing Task Allocation and Secure Deduplication for Mobile Crowdsensing via Fog Computing

Abstract: Mobile crowdsensing enables a crowd of individuals to cooperatively collect data for special interest customers using their mobile devices. The success of mobile crowdsensing largely depends on the participating mobile users. The broader participation, the more sensing data are collected; nevertheless, the more replicate data may be generated, thereby bringing unnecessary heavy communication overhead. Hence it is critical to eliminate duplicate data to improve communication efficiency, a.k.a., data deduplication. Unfortunately, sensing data is usually protected, making its deduplication challenging. In this paper, we propose a fog-assisted mobile crowdsensing framework, enabling fog nodes to allocate tasks based on user mobility for improving the accuracy of task assignment. Further, a fog-assisted secure data deduplication scheme (Fo-SDD) is introduced to improve communication efficiency while guaranteeing data confidentiality. Specifically, a BLS-oblivious pseudo-random function is designed to enable fog nodes to detect and remove replicate data in sensing reports without exposing the content of reports. To protect the privacy of mobile users, we further extend the Fo-SDD to hide users’ identities during data collection. In doing so, Chameleon hash function is leveraged to achieve contribution claim and reward retrieval for anonymous mobile users. Finally, we demonstrate that both schemes achieve secure, efficient data deduplication.

System and method transmitting data

Abstract: Disclosed is a system and method to transmit data to a company's data system by a mobile phone connected to a mobile communications network, and receive an acknowledgment to the same mobile phone from the company's data system. A preset target number dialed by a mobile phone is directed to an intelligent network center. The target number is decoded into data which is transmitted to a company's data system during the connection. The intelligent network center uses the caller's identifying number to check whether the caller is entitled to use the service, and to check to which information system of which company the data has been sent. The intelligent network center transmits a telecommunications network signaling the target number, caller's number and address of the company's to a voice server computer capable of identifying telephone numbers and formulate voice messages. The voice server converts the target number into data and transmits the data and the caller's number to the company's data system using a data network protocol. The company's data system stores the data in the data system and formulates a return message, which includes an acknowledgment of the received data and further a possible additional information, and transmits it to the voice server using the data network. The voice server transmits using the mobile communications network the return message either as a GSM short message or as a voice message to the mobile station which transmitted the data code, or as a pager message to a desired pager device.

Mobile Application Testing: A Tutorial

Abstract: To cope with frequent upgrades of mobile devices and technologies, engineers need a reusable and cost-effective environment for testing mobile applications and an elastic infrastructure to support large-scale test automation.

MobTorrent: A Framework for Mobile Internet Access from Vehicles

Abstract: In this paper, we present MobTorrent, an on- demand, user-driven framework designed for vehicles which have intermittent high speed access to roadside WiFi access points (AP). Mobile nodes in MobTorrent use the WWAN network as a control channel. When a mobile client wants to initiate a down- load, instead of waiting for contact with the AP, it informs one (or multiple) selected AP(s) to prefetch the content. The scheduling algorithm in MobTorrent then replicates the prefetched data on the mobile helpers so that the total amount of data transferred and the average transfer rate to the mobile clients are maximized. Therefore, instead of limiting high speed data transfer to the short contact periods between APs and mobile clients, high speed transfers among vehicles are opportunistically exploited. Evaluation based on testbed measurement and trace-driven simulation shows that MobTorrent provides substantial improve- ment over existing architectures. For the case of a single AP, its performance approximates that of an off-line optimal scheduler. In case of multiple APs, our evaluation shows that MobTorrent's performance is robust in a variety of settings.