A survey on mobility management protocols in Wireless Sensor Networks based on 6LoWPAN technology

Bouaziz, Maha; Rachedi, Abderrezak

doi:10.1016/j.comcom.2014.10.004

Cited by 133 publications

(63 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, it also implements several header compression techniques to handle resource-limited devices. Moreover, the IPv6 allows having a much larger address space and also the capability of establishing a direct external communication link between the devices without the need for a coordinator or a gateway to translate the messages [34].…”

Section: Data Collection and Protocols At The Edgementioning

confidence: 99%

The Internet of Things, Fog and Cloud continuum: Integration and challenges

et al. 2018

View full text Add to dashboard Cite

The Internet of Things needs for computing power and storage are expected to remain on the rise in the next decade. Consequently, the amount of data generated by devices at the edge of the network will also grow. While cloud computing has been an established and effective way of acquiring computation and storage as a service to many applications, it may not be suitable to handle the myriad of data from IoT devices and fulfill largely heterogeneous application requirements. Fog computing has been developed to lie between IoT and the cloud, providing a hierarchy of computing power that can collect, aggregate, and process data from/to IoT devices. Combining fog and cloud may reduce data transfers and communication bottlenecks to the cloud and also contribute to reduced latencies, as fog computing resources exist closer to the edge. This paper examines this IoT-Fog-Cloud ecosystem and provides a literature review from different facets of it: how it can be organized, how management is being addressed, and how applications can benefit from it. Lastly, we present challenging issues yet to be addressed in IoT-Fog-Cloud infrastructures. low latency, and mobile applications. The centralized cloud data centers are often physically and/or logically distant from the cloud client, implying communication and data transfers to traverse multiple hops, which introduces delays and consumes network bandwidth of edge and core networks [2].The widespread adoption of cloud computing, combined with the ever increasing ability of edge devices to run heterogeneous applications that generate and consume all kinds of data from a variety of sources, requires novel distributed computing infrastructures that can cope with such heterogeneous application requirements. Computing infrastructures that enact applications at edge devices have started to appear in recent years [3,4], improving aspects such as response time and reducing bandwidth use. Combining the ability of running smaller, localized applications at the edge with the high-capacity from the cloud, fog computing has emerged as an paradigm that can support heterogeneous requirements of small and large applications through multiple layers of a computational infrastructure that combines resources from the edge of the network as well as from the cloud [5].In this paper, we aim at identifying and reviewing the main aspects and challenges that make the combination of fog computing and cloud computing suitable for all kinds of applications leveraged by the Internet of Things. We discuss aspects from the infrastructure (processing, networking, protocols, and infrastructure for 5G support) to applications (smart cities, urban computing, and industry 4.0), passing through the management complexity of the distributed IoT-fog-cloud system (services, resource allocation and optimization, energy consumption, data management and locality, devices federation and trust, and business and service models).In the next section we introduce concepts and definitions for Internet of Things (IoT), cloud computi...

show abstract

Section: Data Collection and Protocols At The Edgementioning

confidence: 99%

The Internet of Things, Fog and Cloud continuum: Integration and challenges

et al. 2018

View full text Add to dashboard Cite

show abstract

“…Different types of tutorials and surveys on low-power wireless already exist. Some of them are focused on use cases, for example illustrating different mobility management protocols using 6LoWPAN technology [23], discussing the application of WSN in Urban Areas [24] and multiple streaming in WSN [25]. Others are focused on protocol stack design, for example, analyzing the performance of multiple resource allocation algorithms at different protocol layers [26] and multichannel routing algorithms [27].…”

Section: Classifying CI Prior Artmentioning

confidence: 99%

Constructive Interference in 802.15.4: A Tutorial

Chang

Watteyne

Vilajosana

et al. 2019

IEEE Commun. Surv. Tutorials

View full text Add to dashboard Cite

Constructive Interference (CI) can happen when multiple wireless devices send the same frame at the same time. If the time offset between the transmissions is less than 500 ns, a receiver will successfully decode the frame with high probability. CI can be useful for achieving low-latency communication or lowoverhead flooding in a multi-hop low-power wireless network. The contribution of this article is three-fold. First, we present the current state-of-the-art CI-based protocols. Second, we provide a detailed hands-on tutorial on how to implement CI-based protocols on TelosB motes, with well documented open-source code. Third, we discuss the issues and challenges of CI-based protocols, and list open issues and research directions. This article is targeted at the level of practicing engineers and advanced researchers and can serve both as a primer on CI technology and a reference to its implementation.

show abstract

“…The buffered packets should be tunneled to the MN through the new point of attachment. This tunneling process leads to increase in the power expenditure and signaling cost due to using a lot of control information by the MN [86]. These protocols also do not consider the duty cycle when the MN state in the hibernation mode to leverage the power.…”

Section: Finally Thismentioning

confidence: 99%

Mobility management for IoT: a survey

Ghaleb

Subramaniam

Zukarnain

et al. 2016

J Wireless Com Network

View full text Add to dashboard Cite

Internet of Thing (IoT) or also referred to as IP-enabled wireless sensor network (IP-WSN) has become a rich area of research. This is due to the rapid growth in a wide spectrum of critical application domains. However, the properties within these systems such as memory size, processing capacity, and power supply have led to imposing constraints on IP-WSN applications and its deployment in the real world. Consequently, IP-WSN is constantly faced with issues as the complexity further rises due to IP mobility. IP mobility management is utilized as a mechanism to resolve these issues. The management protocols introduced to support mobility has evolved from host-based to network-based mobility management protocols. The presence of both types of solutions is dominant but depended on the nature of systems being deployed. The mobile node (MN) is involved with the mobility-related signaling in host-based protocols, while network-based protocols shield the host by transferring the mobility-related signaling to the network entities. The features of the IoT are inclined towards the network-based solutions. The wide spectrum of strategies derived to achieve enhanced performance evidently displays superiority in performance and simultaneous issues such as long handover latency, intense signaling, and packet loss which affects the QoS for the real-time applications. This paper extensively reviews and discusses the algorithms developed to address the challenges and the techniques of integrating IP over WSNs, the attributes of mobility management within the IPv4 and IPv6, respectively, and special focus is given on a comprehensive review encompassing mechanisms, advantages, and disadvantages on related work within the IPv6 mobility management. The paper is concluded with the proposition of several pertinent open issues which are of high research value.

show abstract

A survey on mobility management protocols in Wireless Sensor Networks based on 6LoWPAN technology

Cited by 133 publications

References 55 publications

The Internet of Things, Fog and Cloud continuum: Integration and challenges

The Internet of Things, Fog and Cloud continuum: Integration and challenges

Constructive Interference in 802.15.4: A Tutorial

Mobility management for IoT: a survey

Contact Info

Product

Resources

About