Using Predictable Observer Mobility for Power Efficient Design of Sensor Networks

By A. Chakrabarti, Ashutosh Sabharwal, Behnaam Aazhang. International Symposium on Information Processing in Sensor Networks, 2003

461 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/17146a94691cd3075132dd2796bc35974aa059bc

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In Computer Networks and Communications

Citations in the corpus

Joint mobility and routing for lifetime elongation in wireless sensor networks (2005, background): “Also, their proposals leverage only on uncontrollable (although predictable for [16]) mobility of the base station.”
Multiple Controlled Mobile Elements (Data Mules) for Data Collection in Sensor Networks (2005, methodology): “Mobile elements traversing the network can collect data from sensor nodes when they come near it. 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.”
Mobile element scheduling for efficient data collection in wireless sensor networks with dynamic deadlines (2004, background): “The use of a predictable mobile element (mounted on a bus) was considered in [3].”
An Energy-Efficient Mobile-Sink Path Selection Strategy for Wireless Sensor Networks (2014, background): “1) Fixed: In the studies conducted in [36]–[38], the path of the mobile sink is fixed, and sensor nodes are randomly deployed near the sink’s traveling path.”
Mobile Element Scheduling with Dynamic Deadlines (2007, background): “This approach is investigated in [8], where a network access point was mounted on a public transportation bus moving with a periodic schedule.”
Signal processing techniques in network-aided positioning: a survey of state-of-the-art positioning designs (2005, background): “The impact of predictable observer mobility upon power consumption in a sensor network is discussed in [29].”
MobiRoute: Routing Towards a Mobile Sink for Improving Lifetime in Sensor Networks (2006, background): “This mobile relay approach [1, 2, 3] uses the mobile sink to transport data with its mechanical movements.”
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].”
Convergence of MANET and WSN in IoT Urban Scenarios (2013, background): “employ mobile nodes with a predictable roaming path as data sinks/mules, thus trading lower power consumption for higher latencies [30].”
Energy conservation in wireless sensor networks: A survey (2009, unknown): “, a shuttle for public transportation [23]).”
Controllably mobile infrastructure for low energy embedded networks (2006, background): “This naturally avoids multihop relaying and reduces the energy overhead at nodes near the base station, enabling the network to last longer.”
Controlled sink mobility for prolonging wireless sensor networks lifetime (2008, background): “The use of mobile sinks with predictable mobility has been more recently presented in [32, 45, 46] and [9].”
Wireless sensor networks: applications and challenges of ubiquitous sensing (2005, background): “The predictable mobility of the data sink can be used to save power [ C29 ], as nodes can learn its schedule.”
Data Collection in Wireless Sensor Networks with Mobile Elements: A Survey (2011, background): “More recently, similarly to the research trends in mobile ad hoc networks (MANETs) [Zhao and Ammar 2003] and delay-tolerant networks (DTNs) [Fall 2003], mobility has also been introduced to WSNs [Chakrabarti et al. 2003; Ekici et al. 2006; Shah et al. 2003].”
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].”