10,150 research outputs found
Named data networking for efficient IoT-based disaster management in a smart campus
Disasters are uncertain occasions that can impose a drastic impact on human life and building infrastructures. Information and Communication Technology (ICT) plays a vital role in coping with such situations by enabling and integrating multiple technological resources to develop Disaster Management Systems (DMSs). In this context, a majority of the existing DMSs use networking architectures based upon the Internet Protocol (IP) focusing on location-dependent communications. However, IP-based communications face the limitations of inefficient bandwidth utilization, high processing, data security, and excessive memory intake. To address these issues, Named Data Networking (NDN) has emerged as a promising communication paradigm, which is based on the Information-Centric Networking (ICN) architecture. An NDN is among the self-organizing communication networks that reduces the complexity of networking systems in addition to provide content security. Given this, many NDN-based DMSs have been proposed. The problem with the existing NDN-based DMS is that they use a PULL-based mechanism that ultimately results in higher delay and more energy consumption. In order to cater for time-critical scenarios, emergence-driven network engineering communication and computation models are required. In this paper, a novel DMS is proposed, i.e., Named Data Networking Disaster Management (NDN-DM), where a producer forwards a fire alert message to neighbouring consumers. This makes the nodes converge according to the disaster situation in a more efficient and secure way. Furthermore, we consider a fire scenario in a university campus and mobile nodes in the campus collaborate with each other to manage the fire situation. The proposed framework has been mathematically modeled and formally proved using timed automata-based transition systems and a real-time model checker, respectively. Additionally, the evaluation of the proposed NDM-DM has been performed using NS2. The results prove that the proposed scheme has reduced the end-to-end delay up from 2% to 10% and minimized up to 20% energy consumption, as energy improved from 3% to 20% compared with a state-of-the-art NDN-based DMS
UAV-Empowered Disaster-Resilient Edge Architecture for Delay-Sensitive Communication
The fifth-generation (5G) communication systems will enable enhanced mobile
broadband, ultra-reliable low latency, and massive connectivity services. The
broadband and low-latency services are indispensable to public safety (PS)
communication during natural or man-made disasters. Recently, the third
generation partnership project long term evolution (3GPPLTE) has emerged as a
promising candidate to enable broadband PS communications. In this article,
first we present six major PS-LTE enabling services and the current status of
PS-LTE in 3GPP releases. Then, we discuss the spectrum bands allocated for
PS-LTE in major countries by international telecommunication union (ITU).
Finally, we propose a disaster resilient three-layered architecture for PS-LTE
(DR-PSLTE). This architecture consists of a software-defined network (SDN)
layer to provide centralized control, an unmanned air vehicle (UAV) cloudlet
layer to facilitate edge computing or to enable emergency communication link,
and a radio access layer. The proposed architecture is flexible and combines
the benefits of SDNs and edge computing to efficiently meet the delay
requirements of various PS-LTE services. Numerical results verified that under
the proposed DR-PSLTE architecture, delay is reduced by 20% as compared with
the conventional centralized computing architecture.Comment: 9,
A Gossip-based optimistic replication for efficient delay-sensitive streaming using an interactive middleware support system
While sharing resources the efficiency is substantially degraded as a result
of the scarceness of availability of the requested resources in a multiclient
support manner. These resources are often aggravated by many factors like the
temporal constraints for availability or node flooding by the requested
replicated file chunks. Thus replicated file chunks should be efficiently
disseminated in order to enable resource availability on-demand by the mobile
users. This work considers a cross layered middleware support system for
efficient delay-sensitive streaming by using each device's connectivity and
social interactions in a cross layered manner. The collaborative streaming is
achieved through the epidemically replicated file chunk policy which uses a
transition-based approach of a chained model of an infectious disease with
susceptible, infected, recovered and death states. The Gossip-based stateful
model enforces the mobile nodes whether to host a file chunk or not or, when no
longer a chunk is needed, to purge it. The proposed model is thoroughly
evaluated through experimental simulation taking measures for the effective
throughput Eff as a function of the packet loss parameter in contrast with the
effectiveness of the replication Gossip-based policy.Comment: IEEE Systems Journal 201
- …