Category Archive: 'M.E Network Project'
Although previous bio-inspired models have concentrated on invertebrates (such as ants), mammals such as primates with higher cognitive function are valuable for modeling the increasingly complex problems in engineering. Understanding primates’ social and communication systems, and applying what is learned from them to engineering domains is likely to inspire solutions to a number of problems. This paper […]
Increasing population density, closer social contact and interactions make epidemic control difficult. Traditional offline epidemic control methods (e.g., using medical survey or medical records) or model-based approach are not effective due to its inability to gather health data and social contact information simultaneously or impractical statistical assumption about the dynamics of social contact networks, respectively. In addition, it is challenging to find […]
Self-awareness facilitates a proper assessment of cost-constrained cyber-physical systems, allocating limited resources where they are most needed. Together, situation awareness and attention are key enablers for self-awareness in efficient distributed sensing and computing networks.
In this paper, we consider the problem of social learning in a network of agents where the agents make decisions onK hypotheses sequentially and broadcast their decisions to others. Each agent in the system has a private observation that is generated by one of the hypotheses. All the observations are independently generated from the same hypothesis. We study a […]
Obesity is one of the rise and among the top health risk factors in the world affecting people of all ages. It can lead to many problems including increased risk of cardiovascular disease, diabetes, functional limitations, and disabilities which adversely affect the social and physical abilities of the obese person in daily affairs. While the rising trend […]
With increased in digitization the amount of homogeneous, unstructured, semi-structured, structured or heterogeneous data being created and stored is exploding is collectively called “Dataspace”. Data being generated from various heterogeneous sources like, digital images, audio, video, online transactions, online social media, data from sensor nodes, click streams for different domains including, retails, medical, healthcare, energy, and day to day […]
In this paper, we extend our previous work on content retrieval in Disruption Tolerant Networks (DTNs) to support cooperative caching. Our caching scheme can adapt to the unstable network topology in DTNs, and enable the sharing and coordination of cached data among multiple nodes to reduce data access latency. Our key idea is to cache data at cluster head […]
Large urban areas are nowadays covered by millions of wireless devices, including not only cellular equipment carried by their inhabitants, but also several ubiquitous and pervasive platforms used to monitor and/or actuate on a variety of phenomena in the city area. Whereas the former are increasingly powerful devices equipped with advanced processors, large memory capacity, […]
When disaster strikes, human lives may depend upon emergency organizations’ rapid establishment of Situation Awareness (SAW) to take the appropriate decisions and actions. Recently, systems emerged, enabling humans to act as crowd sensors contributing valuable crisis information via mobile devices through social media channels. This should allow enhancing situational pictures gained through traditional SAW systems, as employed in control […]
A smart city aims to improve urban functions and provided services, being often perceived as a living urban fabric, in which connected urban citizens, acting as active sensors, have the capacity to contribute even more efficiently to the spatial intelligence of cities. This “immaterial” dimension is related with the need that smart cities have to assess […]
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