The shared wireless infostation model: a new ad hoc networking paradigm (or where there is a whale, there is a way)

By Tara Small, Zygmunt J. Haas. ACM Interational Symposium on Mobile Ad Hoc Networking and Computing, 2003

649 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/71bafafad53230505ec894a22b93a0a496ec63ea

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In Computer Networks and Communications

Citations in the corpus

Practical Routing in Delay-Tolerant Networks (2005, background): “munications [3], government services [4], environmental monitoring [ 5 ], vehicular communication [6], and”
Opportunistic networking: data forwarding in disconnected mobile ad hoc networks (2006, background): “However, improvements are possible by increasing both the number of whales involved and the number of SWIM stations.”
Routing in intermittently connected mobile ad hoc networks and delay tolerant networks: overview and challenges (2006, methodology): “To limit the amount of broadcasting to all its neighbors as in [20, 22 ], the Spraying protocol [24] restricts forwarding to a ray in the vicinity of the destination’s last known location.”
Pocket Switched Networks: Real-world mobility and its consequences for opportunistic forwarding (2005, neutral): “Similar research exists with whales [12].”
Single-copy routing in intermittently connected mobile networks (2004, methodology): “The idea of carrying data through disconnected parts using a virtual mobile backbone has also been used in [12], [13], [17], [18].”
SenCar: An Energy-Efficient Data Gathering Mechanism for Large-Scale Multihop Sensor Networks (2006, background): “IN recent years, wireless sensor networks (WSNs) havebeen playing an increasingly important role in a wide range of applications, such as medical treatment, outer space exploration, battlefield surveillance, emergency response, and so forth [1], [2], [3], [4], [5].”
Co-operative downloading in vehicular ad-hoc wireless networks (2005, methodology): “The Infostations model [ 12 ] of wireless ad-hoc networks aims to provide trade-offs between delay and capacity of these networks by providing geographically intermittent connectivity.”
Mobile element scheduling for efficient data collection in wireless sensor networks with dynamic deadlines (2004, background): “Mobile elements traversing the network can collect data from sensor nodes when they come near it. Existing mobility in the environment can be used [10, 11 , 5, 3] or mobile elements can be added to the system [6, 14, 15], which have the luxury to be recharged.”
Intelligent fluid infrastructure for embedded networks (2004, methodology): “[5] used a random walk model for mobility of their mule and derived various parameters of interest theoretically.”
Mobile Element Scheduling with Dynamic Deadlines (2007, background): “Existing mobility in the environment can be used [5], [6], [7], [8] or mobile elements can be added to the system [9], [10], [11], which have the luxury of being recharged periodically.”
Mobeyes: smart mobs for urban monitoring with a vehicular sensor network (2006, background): “Finally, in the Shared Wireless Infostation Model (SWIM) [27], proposed for sparse, mobile sensor networks with fixed Infostations, sensed data is epidemically disseminated through mobile nodes (replicating and diffusing), which in turn, is offloaded to nearby Infostations.”
Controllably mobile infrastructure for low energy embedded networks (2006, background): “Index Terms—Mobile networking, controlled mobility, wireless sensor networks.”
Cabernet: vehicular content delivery using WiFi (2008, background): “The Drive-Through Internet [25], and Infostations [13, 20, 17, 27] projects propose architectures similar to Cabernet.”
Adaptive routing for intermittently connected mobile ad hoc networks (2005, background): “In [22], Small and Haas describe a very interesting application of epidemic routing protocols to a problem of cost-effective data collection, using whales as message carriers.”
PeopleNet: engineering a wireless virtual social network (2005, methodology): “The main aim of SWIM (as with 7DS) is network access, meaning that devices generate data to be o.oaded to the wired network through an infostation.”
Multiple Controlled Mobile Elements (Data Mules) for Data Collection in Sensor Networks (2005, background): “Existing mobility in the environment can be used [4], [5], [6], [7], [8] or mobile elements can be added to the system [9], [10], [11], [12], which have the luxury to be recharged.”
Probabilistic routing in intermittently connected networks (2003, background): “For example, experiments have been done with attaching sensors to seals [5] and whales [6] to be able to get a large number of sensor readings from the oceans.”