ASCENT: adaptive self-configuring sensor networks topologies

By Alberto E. Cerpa, Deborah Estrin. IEEE Transactions on Mobile Computing, 2004

1,227 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/fbcff40a2e20f65cae4649d7bddae00b558570e4

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In Computer Networks and Communications

Citations in the corpus

Middleware to support sensor network applications (2004, background): “The Lime middleware [15] focuses on a diﬀerent API (application programming interface), namely a shared memory scheme for mobile ad hoc components through a Linda-like tuple space [16].”
Connected sensor cover: self-organization of sensor networks for efficient query execution (2003, background): “For example, in [6], heuristic techniques have been designed to put sensor network nodes in inactive states based on the observed connectivity in the network and loss of messages.”
Strategies and techniques for node placement in wireless sensor networks: A survey (2008, background): “Contemporary topology management schemes, such as [47][48][49], assume redundant deployment of nodes and selectively engage sensors in order to prolong the network lifetime.”
Research challenges and applications for underwater sensor networking (2006, neutral): “An application-level approach exploits dense deployment by putting redundant nodes into sleep [49], [8], [7].”
Intelligent fluid infrastructure for embedded networks (2004, methodology): “Several methods to reduce energy consumption have been considered before in the presence of static devices alone [3, 23, 24, 25, 26].”
A minimum cost heterogeneous sensor network with a lifetime constraint (2005, background): “In such cases it is possible to use redundant nodes as proposed in [20] so as to make up for the battery energy shortage.”
Rumor routing algorthim for sensor networks (2002, background): “Rumor Routing is tunable, and allows for tradeoffs between setup overhead and delivery reliability.”
A Survey of Energy-Efficient Scheduling Mechanisms in Sensor Networks (2006, methodology): “Network lifetime can also be calculated as the duration of time when the percentage of sensors that have depleted their energy is below a threshold, e.g., 90% [ 6 ], [12].”
Studying the feasibility of energy harvesting in a mobile sensor network (2003, background): “• Dynamic configuration of nodes with extra deployment of them in any geographic region for sleep cycles in higher time granularity [ 4 ].”
Fault-tolerant clustering of wireless sensor networks (2003, background): “Since sensors are typically battery-operated with limited energy supply, many research groups have focused on issues like energy aware routing [5], sensor coordination [6], and energy saving through activation of a limited subset of nodes [4][ 12 ].”
Impact of radio irregularity on wireless sensor networks (2004, background): “We note that some other topology-control protocols, such as ASCENT [3] and Span [5] don’t depend on such an assumption, however, performance evaluations of those protocols considering radio irregularity are desired.”
Radio link quality estimation in wireless sensor networks (2012, background): “…routing protocols rely on link quality estimation to overcome low-power links’ unreliability and maintain the correct network operation [Jiang et al. 2006; Woo et al. 2003; Gnawali et al. 2009; Li et al. 2005; Lim 2002; Koksal and Balakrishnan 2006; Seada et al. 2004; Cerpa and Estrin 2004].”