Intelligent fluid infrastructure for embedded networks
By Aman Kansal, Arun Agrahara Somasundara, David Jea, Mani B. Srivastava, Deborah Estrin. ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services, 2004
432 citations recorded by the source corpus.
Subfields: Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/f98c15d91ccfcdc43695bd5015bfbcc58dee8aab
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Sajal K. Das
- Ian F. Akyildiz
- Mani B. Srivastava
- Mario Di Francesco
- Giuseppe Pio Anastasi
- Arun Agrahara Somasundara
- Jean-Pierre Hubaux
- Marco Conti
Citations in the corpus
- Mobile element scheduling for efficient data collection in wireless sensor networks with dynamic deadlines (2004, background): “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.”
- Wireless sensor networks: a survey (2002, methodology): “1) RP Selection by Fixed Track: The root of every tree is taken as RP [7].”
- MobiRoute: Routing Towards a Mobile Sink for Improving Lifetime in Sensor Networks (2006, methodology): “While most of them [16, 17, 18] consider sink mobility as an inherent behavior of WSNs and try to cope with it, only [3] share the same opinion of exploiting controllable sink mobility as ours.”
- People-centric urban sensing (2006, background): “However, proposals like [31] and [ 33 ] do so only to address partitions in the network with regards to the radio communications, neglecting the equally important challenges of sensor tasking and sensing coverage in the urban landscape.”
- Joint mobility and routing for lifetime elongation in wireless sensor networks (2005, background): “Our proposal differs from [15], [16], [28] in that we do not apply the mobile relay approach; as a result, the moving speed, which is crucial in their cases due to its impact on latency, is not essential any more to our solution.”
- Using mobile relays to prolong the lifetime of wireless sensor networks (2005, background): “Mobile sinks with predictable and controllable movement patterns are studied in [9, 10, 11].”
- A Survey on Localization for Mobile Wireless Sensor Networks (2009, background): “Mobility also enables greater channel capacity and maintains data integrity by creating multiple communication pathways, and reducing the number of hops messages must travel before reaching their destination [20].”
- 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].”
- Message ferry route design for sparse ad hoc networks with mobile nodes (2006, background): “al.[13] make a case for controlled mobility for acheiving desired properties in the network, such as, controlling delay, and energy consumption.”
- Energy conservation in wireless sensor networks: A survey (2009, methodology): “To this end most of the solutions proposed in the literature embed a simple periodic wakeup scheme with an active period [64,71,114,119].”
- Controlled sink mobility for prolonging wireless sensor networks lifetime (2008, background): “A first in-depth discussion on how to incorporate controllable mobile relays into the network infrastructure has been presented in [28].”
- Mobility-based communication in wireless sensor networks (2006, methodology): “Existing MDC-based proposals can be classified according to the mobility patterns of the MDCs [5]: • Random mobility: MDCs move in random patterns as proposed in [6].”
- Multiple Controlled Mobile Elements (Data Mules) for Data Collection in Sensor Networks (2005, methodology): “single data mule implementation [ 9 ]), will have a sensor node to interact with the static sensor network.”
- The BikeNet mobile sensing system for cyclist experience mapping (2007, background): “There has also been work in delay tolerant networking [16], [17], [18] to improve data transfer in networks that are often disconnected as BikeNet is.”
- Controllably mobile infrastructure for low energy embedded networks (2006, methodology): “Otherwise, mobile nodes can be added to the system [ 8 ], [9], [10] for data collection.”
- Data Collection in Wireless Sensor Networks with Mobile Elements: A Survey (2011, methodology): “In fact, mobility in WSNs is useful for several reasons [Anastasi et al. 2009b; Kansal et al. 2004], as discussed in the following.”
- CarTel: a distributed mobile sensor computing system (2006, background): “Recent work in the NIMS project [31, 33] and underwater sensing [55] has focused on using mobility when it is not feasible to build a dense network of fixed sensors, due to sensor or instrumentation costs or a large geographic area that needs to be covered.”
- Efficient Data Collection in Wireless Sensor Networks with Path-Constrained Mobile Sinks (2011, methodology): “Existing work has shown that sink mobility can improve the performance of WSNs [1], [2], [3], [4], [5], [6], [7], [8], [9].”