2017
DOI: 10.3390/info8030108
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Collecting Sensed Data with Opportunistic Networks: The Case of Contact Information Overhead

Abstract: Abstract:The rising human population in urban environments drives the mission towards smart cities, which envisions a wide deployment of sensors in order to improve the quality of living. In this regard, opportunistic networks (OppNets) present an economical means of collecting delay tolerant data from sensors to their respective gateways for providing various Smart City services. Due to the distributed nature of the network, encounter-based routing protocols achieve acceptable throughput by requiring nodes to… Show more

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Cited by 3 publications
(3 citation statements)
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“…Specifically, Song et al [4] propose the use of MANET (Mobile Ad hoc NETwork) or Device-to-Device (D2D) networking, through the communication and sharing of crowdsensing data by vehicles near the event (such as a pothole on the road), termed as a local crowd. Some researchers have already proposed the use of Opportunistic Networking (also referred to as Opportunistic Networks) to collect and broadcast sensed data [31,32]. Thus, OppNet can serve as a complementary technology to avoid or minimise the use of fixed infrastructure, as well as to offload it.…”
Section: Mobile Crowdsensing (Mcs) and Opportunistic Networking (Oppnet)mentioning
confidence: 99%
“…Specifically, Song et al [4] propose the use of MANET (Mobile Ad hoc NETwork) or Device-to-Device (D2D) networking, through the communication and sharing of crowdsensing data by vehicles near the event (such as a pothole on the road), termed as a local crowd. Some researchers have already proposed the use of Opportunistic Networking (also referred to as Opportunistic Networks) to collect and broadcast sensed data [31,32]. Thus, OppNet can serve as a complementary technology to avoid or minimise the use of fixed infrastructure, as well as to offload it.…”
Section: Mobile Crowdsensing (Mcs) and Opportunistic Networking (Oppnet)mentioning
confidence: 99%
“…Phase 1 introduces PoiTrace [73], a mechanism that maintains region-based information from which the most significant locations visited by a node can be inferred. User movement may reveal multiple significant locations and can be exploited for routing.…”
Section: Phase 1: Determining the Relative Distance Between Nodesmentioning
confidence: 99%
“…Phase 1 introduces PoiUtility, which is elaborated in [72]. U a (d) ∈ [−∞, 1], the PoiUtility of a node a for a destination d, is given by Equation (1), where E a (d) and L a (d) represent the encounter-based and location-based forwarding utilities, respectively, and the constants µ and ω are non-negative parameters of the forwarding utility, such that µ ω and their sum equals 1.…”
Section: Phase 1: Computing the Fair Forwarding Utilitymentioning
confidence: 99%