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The focus of the research for big data analytics for sustainability (BDAS) is Vehicular Ad-hoc Networks (VANETs), since it has become the most popular technology for the researchers, academia and the organizations. However, in VANETs most part of the time a well-defined path from a consumer to the provider doesn't exists due to the intermittent connectivity and mobility. Hence, Vehicular Content Centric Networks (VCCN) has been proposed and has emerged as a future Internet technology. The focus of the VCCN is to retrieve and distribute the content faster than the existing Internet architecture in vehicular environment. In VCCN, consumer broadcasts the interest packet to the provider including the name of the required content. If the provider is not available at one hop neighbor, then the interest packet is sent to the forwarder vehicle, otherwise, provider generates the data packet and sends back to the consumer. Forwarder vehicle receives this interest packet from the consumer and searches in its cache called Content Storage (CS). If the content is not available in its storage the forwarder vehicle rebroadcasts the interest packet within its vicinity and forward the interest to the provider. The provider generates the data packet including the content and sends back to the consumer through selected forwarder vehicle. The VCCN communication paradigm faces several challenges i.e., mobility, interest broadcasting storm, routing, interest/data packet forwarding and forwarder selection. Various routing protocols have already been proposed and implemented to resolve existing problems. However, in our research due to the high mobility and the dynamic network topology in vehicular environment, there is no assurance that the back path is still available followed by the interest message which causes disconnected link problem. Hence, the retrieval of the required data might be effected. Thus, the aim of this paper is to propose a forwarding protocol to mitigate the interest broadcasting storm and the disconnected link problems, keeping in the view of intermittent connectivity and high mobility that will improve the data delivery probability, packet loss ratio, Interest Satisfaction Ratio (ISR) and average End-to-End delay in a highway and an urban scenario of a vehicular environment. Results and demonstrations show that the proposed protocol can meet requirements for BDAS.

Summary We proposed a novel Energy Efficient Greedy Routing Protocol (EEGRP) in CCN for MANETs to achieve the gaps in the existing infrastructure of Green Cloud Computing. Initially, the consumer node broadcasts the interest packet; each relay node verifies if it is already satisfied, and then it drops the packet. Otherwise, the provider node selects shortest path to unicast data packet within minimum delay. Each relay node receives a data packet, stores its content in content store, and forwards it to next node according to path mention in the hop‐count field. If the data packet custodian node does not find path mention in the hop‐count field, then it searches the routing table entries to choose the second best path to unicast the data packet. EEGRP is implemented in three scenarios using ns2 and compare its performance with AIRDrop routing protocol on bases of three performance parameters like packet delivery ratio, delay, and energy consumption. EEGRP achieves high PDR with minimum delay and less energy consumption as compared to AIRDrop. Therefore, EEGRP is feasible to use on green computing and cloud technology. This can save energy issue to secure energy for Green Computing and Cloud before moving to full‐scale virtualization and Cloud services.

Recent advancements in wireless networks and sensor technologies have enabled continuous monitoring of remote patients. This has opened doors for exploring new frontiers in the domain of smart health-care especially patient monitoring and diagnosis. Scientists and researchers have scouted the novel domain of human bond communications (HBC), which suggests detection and transmission of information using all five human senses (sight, smell, sound, touch, and taste). HBC not only enables these senses to be replicated at a remote location but also helps in diagnosis of several ailments through monitoring. Such a holistic communication medium is facilitated through specialized devices that help health-care experts in making crucial and timely data driven decisions for their patients. In this work, we present state of the art research on HBC and possible interactions between HBC and remote health-care. We present a model HBC framework to assist monitoring and diagnosis of Attention Deficit Hyperactivity Disorder (ADHD) patients. We also mention possible applications as well as challenges posed by HBC applications.

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