This paper provides an overview of the Internet of Things (IoT) with emphasis on enabling technologies, protocols, and application issues. The IoT is enabled by the latest developments in RFID, smart sensors, communication technologies, and Internet protocols. The basic premise is to have smart sensors collaborate directly without human involvement to deliver a new class of applications. The current revolution in Internet, mobile, and machine-to-machine (M2M) technologies can be seen as the first phase of the IoT. In the coming years, the IoT is expected to bridge diverse technologies to enable new applications by connecting physical objects together in support of intelligent decision making. This paper starts by providing a horizontal overview of the IoT. Then, we give an overview of some technical details that pertain to the IoT enabling technologies, protocols, and applications. Compared to other survey papers in the field, our objective is to provide a more thorough summary of the most relevant protocols and application issues to enable researchers and application developers to get up to speed quickly on how the different protocols fit together to deliver desired functionalities without having to go through RFCs and the standards specifications. We also provide an overview of some of the key IoT challenges presented in the recent literature and provide a summary of related research work. Moreover, we explore the relation between the IoT and other emerging technologies including big data analytics and cloud and fog computing. We also present the need for better horizontal integration among IoT services. Finally, we present detailed service use-cases to illustrate how the different protocols presented in the paper fit together to deliver desired IoT services.

Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications

Networked sensors-those that coordinate amongst themselves to achieve a larger sensing task-will revolutionize information gathering and processing both in urban environments and in inhospitable terrain. The sheer numbers of these sensors and the expected dynamics in these environments present unique challenges in the design of unattended autonomous sensor networks. These challenges lead us to hypothesize that sensor network coordination applications may need to be structured differently from traditional network applications. In particular, we believe that localized algorithms (in which simple local node behavior achieves a desired global objective) may be necessary for sensor network coordination. In this paper, we describe localized algorithms, and then discuss directed diffusion, a simple communication model for describing localized algorithms.

https://www.cs.jhu.edu/~cs647/class-papers/Sensor%20Nets/estrin.pdf

Next century challenges: scalable coordination in sensor networks

Underwater sensor nodes will find applications in oceanographic data collection, pollution monitoring, offshore exploration, disaster prevention, assisted navigation and tactical surveillance applications. Moreover, unmanned or autonomous underwater vehicles (UUVs, AUVs), equipped with sensors, will enable the exploration of natural undersea resources and gathering of scientific data in collaborative monitoring missions. Underwater acoustic networking is the enabling technology for these applications. Underwater networks consist of a variable number of sensors and vehicles that are deployed to perform collaborative monitoring tasks over a given area. In this paper, several fundamental key aspects of underwater acoustic communications are investigated. Different architectures for two-dimensional and three-dimensional underwater sensor networks are discussed, and the characteristics of the underwater channel are detailed. The main challenges for the development of efficient networking solutions posed by the underwater environment are detailed and a cross-layer approach to the integration of all communication functionalities is suggested. Furthermore, open research issues are discussed and possible solution approaches are outlined. � 2005 Published by Elsevier B.V.

/pdf/underwater-acoustic-sensor-networks-research-challenges-15fjl1gvhc.pdf

Underwater acoustic sensor networks: research challenges

National Institute of Standards and Technology における超伝導研究及び生活

Ad hoc networks are a new wireless networking paradigm for mobile hosts. Unlike traditional mobile wireless networks, ad hoc networks do not rely on any fixed infrastructure. Instead, hosts rely on each other to keep the network connected. Military tactical and other security-sensitive operations are still the main applications of ad hoc networks, although there is a trend to adopt ad hoc networks for commercial uses due to their unique properties. One main challenge in the design of these networks is their vulnerability to security attacks. In this article, we study the threats on ad hoc network faces and the security goals to be achieved. We identify the new challenges and opportunities posed by this new networking environment and explore new approaches to secure its communication. In particular, we take advantage of the inherent redundancy in ad hoc networks-multiple routes between nodes-to defend routing against denial-of-service attacks. We also use replication and new cryptographic schemes, such as threshold cryptography, to build a highly secure and highly available key management service, which terms the core of our security framework.

/pdf/securing-ad-hoc-networks-3hudjv4io2.pdf

Securing ad hoc networks

This document reorganizes the naming of already-allocated TLV (type-
length-value) types and type extensions in the "Mobile Ad hoc NETwork
(MANET) Parameters" registries defined by RFC 5444 to use names
appropriately. It has no consequences in terms of any protocol
implementation. This document also updates the Expert Review
guidelines in RFC 5444, so as to establish a policy for consistent
naming of future TLV type and type extension allocations. It makes no
other changes to RFC 5444.

TLV Naming in the Mobile Ad Hoc Network (MANET) Generalized Packet/Message Format

The Optimized Link-State Routing protocol (OLSR) is a proactive link-state routing protocol. While similar to the well-known Internet routing protocol OSPF, OLSR is designed to be simple, and to maintain connectivity in face of highly dense and dynamic networks, while being ressource-economic (battery, bandwidth etc.) These characteristics make OLSR suitable as an underlaying routing protocol in a wide range of ad-hoc sensor networks. In this paper, we introduce an extension to OLSR: OSPF-style database exchange and reliable synchronization. The goal of this extension is to provide a mechanism, through which nodes in an ad-hoc sensor network can detect and correct discrepancies in their link-state databases. We qualify why the mechanism, found in OSPF, is not directly applicable for ad-hoc sensor networks, describe an adopted mechanism, accomplishing the same goal, and evaluate the performance of this mechanism in comparison to the database exchange mechanism found in OSPF. We finally discuss some applications of database exchange and reliable synchronization in ad-hoc sensor networks.

OSPF-style Database Exchange and Reliable Synchronization in the OLSR

Self-organized networks, also known as ad hoc networks or MANETs, are expected to soon become important components in the Internet architecture. Numerous efforts currently focus on the accomplishment of scalable and efficient mobile ad hoc routing, an essential piece in order to fully integrate ad hoc networks in the Internet. However, an orthogonal and yet as important issue lies with ad hoc IP autoconfiguration. Indeed, prior to participation in IP communication and routing, a node must acquire IP addresse(s) to configure its interface(s). These IP addresses may be required to be unique within a certain scope and/or topologically "correct". Since nodes may be mobile and neither the set of nodes in the MANET nor their connections to each other is pre-determined, the proper configuration must be detected and acquired automatically. This paper reviews the applicability, in the particular context of MANETs, of standard automatic address configuration and prefix allocation protocols, and identifies the different categories of issues that are not solved by these protocols. The paper then elaborates further on why these issues are more profound than they seem, as they pertain to graph theory and are in fact real scalability and architectural issues for the Internet of tomorrow.

https://hal.inria.fr/inria-00338972/document

Ad Hoc Networking in the Internet: A Deeper Problem Than It Seems

This memorandum describes a pragmatic set of configuration recommendations for MANETs, as well as provides a rationale for why these recommendations are sound. While there may be other equally valid ways of configuring a MANET, the recommendations in this memorandum have the merit of being supported by an existence proof (there're running networks in existence, configured according to these recommendations), and they require neither modifications to the IP stack nor to upper-layer protocols or applications.

https://hal.inria.fr/inria-00363227/document

MANET Router Configuration Recommendations

The “Light-weight On-demand Ad-hoc Distance-vector Routing Protocol – Next Generation” (LOADng) is a simple, yet efficient and flexible routing protocol, specifically designed for use in lossy networks with constrained devices. A reactive protocol, LOADng – as a basic mode of operation – offers discovery and maintenance of hop-by-hop routes and imposes a state in intermediate routers proportional to the number of traffic paths served by that intermediate router.

/pdf/path-accumulation-extensions-for-the-loadng-routing-protocol-13olez2r3y.pdf

Thomas Clausen

Papers

TLV Naming in the Mobile Ad Hoc Network (MANET) Generalized Packet/Message Format

OSPF-style Database Exchange and Reliable Synchronization in the OLSR

Ad Hoc Networking in the Internet: A Deeper Problem Than It Seems

MANET Router Configuration Recommendations

Path Accumulation Extensions for the LOADng Routing Protocol in Sensor Networks