Ignorance Over Innovation: Why Misunderstanding Standard Setting Organizations Will Hinder Technological Progress

On January 17, 2017, the Federal Trade Commission (FTC) sued Qualcomm Inc. in federal district court, alleging antitrust violations in the company\u27s licensing of semiconductor chips used in cell phones and more. The suit alleges, in part, that Qualcomm refuses to license its patents that cover innovations incorporated in technology standards (standard-essential patents, or SEPs), in contradiction of the company\u27s promise to license this intellectual property on fair, reasonable, and nondiscriminatory (FRAND) terms. According to the FTC, Qualcomm\u27s behavior reduces competitors\u27 ability to participate in the market, raises prices paid by consumers for products incorporating the standardized technology, and at bottom, impedes innovation. While there is plenty to criticize about the FTC\u27s action, the lawsuit is evidence of a much larger and more fundamental problem. The FTC\u27s allegations are not based on sound economic analysis nor are they supported by evidentiary findings. This is not due to haste or poor practices by the FTC; it is instead indicative of the FTC\u27s ignorance. Put plainly, the FTC does not understand technology standards and the organizations that develop them. And the FTC is not alone in this lack of knowledge. Many courts and commentators have also demonstrated clear misunderstandings of standard setting organizations (SSOs). Unfortunately, this is not harmless error or mere academic diversion. Important legal, business, and policy decisions are being made based on these misunderstandings. These decisions have the potential to negatively impact the future of technology standards and, ultimately, innovation itself

Development of a multi-mode self-adaptive algorithm to create an efficient wireless network on a university campus

The expanding use of ubiquitous computing has created a significant demand on existing network infrastructures. The demands of voice, video, and data on the same medium require a quality of service (QoS) at a level acceptable to users. Many network providers simply scale their networks to increase bandwidth and hardware to deal with the increasing demands. However, a network may still reach its design limits with peak traffic or malicious overuse of resources. In addition, with technology changing at a rapid pace, it is difficult to provide sufficient staffing to monitor and adjust the network settings to avoid issues during periods of network saturation. One of the common method to address these issues involves implementing a traffic shaper. A traffic shaper is a computer network management technique by which data sent across the network is delayed or routed in a way to accommodate a specific level of traffic to reach a desired QoS. There are many existing traffic shaping algorithms, each performing well under specific circumstances improving some QoS measures. The algorithms make use of queuing schemes to sort and send traffic based on the parameters provided to the system. To determine the need for this research, a survey was administered which revealed dissatisfaction with QoS of the wireless network. The purpose of this study focused on the development of a traffic shaping algorithm that would improve the QoS on a local area network on a university campus. The goal of the research was to create a new architecture that would allow a router to dynamically shift between different queuing mechanisms to improve network delay and packet loss without negatively impacting data throughput. The Multi-Mode Self-Adaptive (MMSA) algorithm was proposed to define a mechanism for this architecture. The MMSA was implemented within the code of a Cisco® router in the OPNET Modeler software and tested in a simulated university network environment. The results of the simulation revealed an improvement in end to end delay and packet loss rate with an insignificant change in average transmit rate between the router and the external server. The results of this research can be used as a basis for future research to create a new QoS framework. The new framework could be implemented in a router to allow configurations tailored to the network requirements of a service provider

Internal governance of the IETF, W3C and IEEE: structure, decision-making and internationalisation

This is the author accepted manuscript. The final version is available from Oxford University Press via the ISBN and DOI in this recordNOTE: the title of the author accepted manuscript available in this record is slightly different from the chapter published onlineChapter 3 explains the internal organization of SDOs. It outlines the four main layers which make up the Internet and focuses on the principal SDOs associated with them: the IETF, W3C, the Organization for the Advancement of Structured Information Standards (OASIS), and IEEE, analysing their governance structures and most salient areas of work. Standards are important for interoperability and to prevent lock-in to single company technology. SDOs enable a wider technical community to scrutinize proposals for errors and security. Nonetheless, procedures for decision-making are complex and often opaque. The chapter explores decision-making in a governance context. It charts the evolution of each SDO, and its main purpose, functions, and central decision-making processes. It highlights the differences as well as the degree of synergy and collaboration between each and then explains how procedures vary between the different fora and how moving goalposts and high barriers to entry make it difficult for civil society to participate.Economic and Social Research Council (ESRC

Wi-Fi Enabled Healthcare

Focusing on its recent proliferation in hospital systems, Wi-Fi Enabled Healthcare explains how Wi-Fi is transforming clinical work flows and infusing new life into the types of mobile devices being implemented in hospitals. Drawing on first-hand experiences from one of the largest healthcare systems in the United States, it covers the key areas associated with wireless network design, security, and support. Reporting on cutting-edge developments and emerging standards in Wi-Fi technologies, the book explores security implications for each device type. It covers real-time location services and emerging trends in cloud-based wireless architecture. It also outlines several options and design consideration for employee wireless coverage, voice over wireless (including smart phones), mobile medical devices, and wireless guest services. This book presents authoritative insight into the challenges that exist in adding Wi-Fi within a healthcare setting. It explores several solutions in each space along with design considerations and pros and cons. It also supplies an in-depth look at voice over wireless, mobile medical devices, and wireless guest services. The authors provide readers with the technical knowhow required to ensure their systems provide the reliable, end-to-end communications necessary to surmount today’s challenges and capitalize on new opportunities. The shared experience and lessons learned provide essential guidance for large and small healthcare organizations in the United States and around the world. This book is an ideal reference for network design engineers and high-level hospital executives that are thinking about adding or improving upon Wi-Fi in their hospitals or hospital systems