Networking technologies and applications
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1 Networking technologies and applications May 11, 2015 Networking technologies and applications May 11,
2 4G - LTE LTE Long Term Evolution Developed by the 3GPP (Third Generation PartnerShip Project) Release 8 (2008) First publicly available service launched by TeliaSonera in Oslo and Stockholm in December 2009 LTE-Advanced (LTE-A, Release 10, 2011) True 4G LTE-M (Release 12, to be comercially deployed in 2016) Support for the Internet of Things (IoT) Introduction of Power Saving Mode in Idle state 2
3 LTE Increased speeds Downlink speed 300 Mbit/s Uplink speed 75 Mbit/s Transfer latency below 5 ms in the RAN Radio Access Network Support for both FDD and TDD Increased spectrum flexibility 1.4 MHz, 3 MHz, 5 MHz, 10 MHz, 15 MHz and 20 MHz wide cells Only 5 MHz cells in W-CDMA Support for different cell sizes Femtocells and picocells tens of meters Macrocells 100 km All-IP network, support only for packet-switching 3
4 E-UTRAN Evolved Universal Terrestrial Radio Access Network 4
5 Speeds up to 1 Gbit/s for downlink Ultra wide bandwidth up to 100 MHz MIMO (Multiple Input Multiple Output) multiple antennas on the same device Carrier aggregation Optimized heterogenous networks (Hetnets) Macrocells, picocells, femtocells 5
6 6
7 5G Expected for 2020 No clear definition Not a novel radio technology, but rather a combination of all the others User simultaneously connected to several different access technologies, and move seamlessly among them 4G, WLAN, IEEE , etc Offloading the cellular mobile network Support for the Internet of Things (IoT) 7
8 8
9 IoT - (kind of) definitions The basic idea of the IoT is that virtually every physical thing in this world can also become a computer that is connected to the Internet. [ITU, 2005] at least they can feature tiny computers they are often called smart things But do things really have to feature computers to become smart? 9
10 Smart objects Smart objects... are able to perceive their context (using sensors), and are able to communicate with each other, access the Internet services and interact with people (via built in networking capabilities) Digitally upgrading conventional objects enhances their physical function by adding the capabilities of a smart object. 10
11 IoT - (kind of) definitions IoT is simply the point in time when more things or objects were connected to the Internet than people (Cisco, 2011)...so IoT was born sometime between 2008 and
12 IoT in numbers There will be 25 billion devices connected to the Internet by 2015 and 50 billion by 2020 (Cisco) By 2020, there will be 4 billion people online, and 31 billion Internet-connected devices (Intel, June 2011) More than 50 billion connected devices by 2020 (Ericsson, 2011) 12
13 IoT CISCO vision Planetary Skin Institute Common project of Cisco and NASA (2009) 100 million USD Sensors on earth, in water, in air Data is collected in a central database It will be good for something, sometime 13
14 IoT challenges and barriers Biggest challenges for the development of IoT Deployment of IPv6 IPv4 addresses ran out in February 2010 Sensor energy Sensors need to be self-sustaining. Method would be needed to generate electricity from environmental elements (e.g., vibrations, light,...) Standards More standardization activities are needed in the areas of security, privacy, architecture and communications 14
15 Social and political issues Trust Hard to define, but its mechanisms can be described Context-based Directed Measurable Changes in time Can be handed over Trusted data is data that is difficult to influence because it is quietly and continuously collected by machines all the time. The price of this silent monitoring is loss of privacy. 15
16 Privacy People usually do not like the big brother But if you offer them useful services, they rapidly forget about privacy 16
17 Social and political issues security vs. freedom and comfort vs. data privacy Threats: Automatically collected personal data could be used by third parties without people s agreement or knowledge for unknown and potentially damaging purposes. We can never be entirely sure whether we are being observed. Who would own the masses of automatically captured and interpreted real world data, which could be of significant commercial or social value, and who would be entitled to use it and within what ethical and legal framework? Willingness to share Sharing resources, context information Users cannot be forced to do so The technology provides more and more secure solutions It is the decision of the user whether it trusts and uses them, or not Without sharing, many applications will not work 17
18 Social and political issues (cont d) Dependence on technology Just think of how dependent we are on the general availability of electricity! If everyday objects only worked with an Internet connection, it would lead to even greater dependence on the underlying technology. Remotely controlled objects could cause us to become dependent and loose our supremacy on a personal level. 18
19 Internet vs. IoT - hardware Powerful Internet end hosts are full blown computers (workstations, laptops, smart phones, etc.) Require regular access to the power grid Humans interact with them Invisible Things are very small, even invisible, low-end computers With low energy consumption Limited functionality, often including sensing Communicating a limited amount of information Cannot directly interact with humans (Fleisch, 2010) 19
20 Internet vs. IoT - #nodes Billions About five billion devices (mobile phones, PCs, PDAs, data servers, etc.) serve about 1.5 billion Internet users Trillions There are MANY computer-enabled things around us that people are not able and will not be willing to directly communicate with them A new network infrastructure might be required 20
21 Internet vs. IoT last mile Broadband The last mile in the Internet has been increasing tremendously (cable based at least 1 Mbps, optical based up to Mbps and beyond...) Bottleneck The speed towards a low energy consuming radio (of sensor motes) is around 100 kbps. 21
22 Internet vs. IoT addressing Global identification IP as simple as that Babylon IP-based identification and addressing schemes require too much capacity to become part of low-end smart things New solutions such as IPv6 and 6LoWPAN are required 22
23 Internet vs. IoT humans and machines User-centric Vast majority of Internet-based services are targeted towards human beings as users (WWW, , file sharing, telephony, shopping,...) Machine-centric Humans are basically excluded from direct intervention! paradigm shift towards human-out-of-the-loop-computing (Mattern, 2004) Smart things communicate amongst each other and with computers in the Internet in a machine-to-machine way 23
24 Internet vs. IoT focus Communication Economic success story of the Internet: WWW reaching out to a global customer base at very low cost! (e.g., advertising Google, shopping ebay, Amazon,...) The ability to deal with user-generated content: Web 2.0 (Wikipedia, Facebook, YouTube,...) Sensing It allows the physical world, things and places, to generate data automatically. IoT is about sensing the physical world 24
25 Gartner s Top 10 Strategic Technologies for 2014 Mobile Device Diversity Mobile Apps and Applications Internet of Everything Hybrid Cloud Cloud-Client Architecture Personal Cloud Software Defined Anything Web-Scale IT Smart Machines 3D Printing 25 May 11, 2015
26 Gartner s Hype Cycle 26 May 11, 2015
27 Gartner s Hype Cycle for May 11, 2015
28 28 May 11, 2015
29 Gartner s Hype Cycle for May 11, 2015
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