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Outline

Title
Abstract
Chapter 1: Introduction
Data Set
Data Collection Method
Results
General Utility Analysis Framework
Stochastic Analysis
Markovian Analysis
Design of Cooperative Rules
Performance Analysis
Overview
Related Work
Summary of Contributions
Conclusions
References
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Engineering
Electrical Engineering

Energy Efficiency and Privacy Protection in Cellular Networks

Profile image of Tuan tran minhTuan tran minh

2014

Abstract

and Computer Engineering Smartphones have become an essential part of our society. The benefits of having an always present, highly capable device cannot be overstated. As more aspects of our life depend on our smartphones, it is more important than ever to ensure the availability of those devices. However, their big advantages also come with big risks. The fact that we have our smartphones with us all the time means that it is easier than ever to collect our information, sometimes without our consent. In this dissertation, we study the two pressing concerns in cellular communications: energy efficiency and privacy protection. We focus on LTE networks, the current most advanced global standard for cellular communications. In the first part of the dissertation, we study the energy efficiency problem from both device and network perspectives. From the device point of view, we introduce a new angle to address the battery life concern. We recognize that the value of battery for the users is not always the same, and that it depends on the user usage. We also identify, and show in real network, diversity of usage, the phenomenon that at any instant, there is a diverse distribution of smartphone usage among cellular users. We propose "Battery Deposit Service" (BDS), a cooperative system which makes use of device-to-device (D2D) communications underlaying cellular networks to provide energy sharing in the form of load sharing. We design BDS to take advantage of diversity of usage to maximize the utility of smartphone battery. We show that our system increases battery life of cellular users, at almost no cost to the rest of the network. BDS is designed to be compatible to LTE architecture. From the network point of view, we design an energy efficient D2D relay system underlaying LTE networks. We minimize transmission power of smartphones by considering relay selection, resource allocation and power control. The overall problem is prohibited due to its exponential search space. We develop a divideand-conquer strategy which splits the overall problem into small sub-problems. We relate these sub-problems to well-studied graph theoretic problems, and take advantage of existing fast algorithms. We show that our algorithms meet the runtime requirement of real-time LTE operations. In the second part of the dissertation, we address a privacy concern in LTE networks. In particular, we show that user location can be leaked in current LTE paging architecture. We propose a mechanism based on signal processing to remedy this vulnerability. Our method makes use of physical layer identification, which are low-power tags embedded on the wireless waveform, to signal paging messages to user devices. We show that our method is stealthy and robust, and that it mitigates the aforementioned privacy issue.

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Georgios Kanakis

IJARCCE

While the Internet is evolving to the Internet of Things, all other technologies that are related to it are also advancing in a way to contain and support concepts like device-to-device networking, proximate discovery, energy efficiency and security. One of the fastest thrives can be seen in mobile communication technologies. This became more obvious after 4G spread out. In our study, we present a review of a new and revolutionary mobile technology under development: LTE Direct; which runs on licensed radio spectrum and is claimed to be energy efficient and secure, while enabling new approaches for the Internet of Things. We state why and how LTE Direct should replace existing systems, by making an analysis considering provided features, resource consumption, possible use cases and security concerns, as well as comparisons with the conventional technologies. Lastly, we provide ideas for the areas where further research should be made to have this system be a reality.

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An energy efficient cooperative approach for anonymous wireless communications
Fabrizio Granelli

The inherent characteristics of wireless communications pose great challenges to ensure anonymity during information exchange. When improving anonymity, it is also important to minimize the energy consumption of the proposed solution, since it is a fundamental requirement to prolong the network lifetime. To balance anonymity and energy consumption, this paper introduces a cooperative approach where selected nodes are formed into pairs to exchange both real and fake data before forwarding them to the Base Station (BS). The selection criterion of node pairs is based on a cross-layer method that considers the transmission rate, the traffic pattern and the intermodal distance to guarantee anonymity with minimum energy consumption. Thus, this prevents the attacker from inferring confidential information of the wireless communication system and saves energy at the network nodes. Comprehensive computer-based simulations were undertaken and the simulation results verify the initial hypothesis, where the maximum energy saving of the cooperative approach reaches up to 80% while guaranteeing anonymity.

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Location Privacy and Energy Preservation in Sensor Allocation Systems
Hosam Rowaihy

International Journal of Distributed Sensor Networks, 2012

We propose sensor-to-task assignments algorithms that take into account location privacy issues. Our solutions enable the network to choose the "best" assignment of the available sensors to the tasks to maximize the utility of the network while preserving sensors' location privacy. We focus on preserving the sensors' locations during the assignment process in contrast to previous works, which considered location privacy while sensors are in operation. We also propose an energy-based algorithm that uses the remaining energy of a sensor as a factor to scale the distance between a sensor and a task such that sensors that have more energy appear to be closer than ones with less energy left. This does not only provide location privacy but will also consume the sensing resources more evenly, which leads to extending the lifetime of the network. From our simulations, we found that our algorithms can successfully hide sensors' locations while providing performance close to the algorithms, which use the exact locations. In addition, our energybased algorithm, while achieving results close to the exact location algorithm, was found to increase the network lifetime by as much as 40%.

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Related topics

  • Engineering
  • Electrical Engineering
  • Computer Science
  • Computer Security
  • Cooperative System
  • Cellular Communications
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