Ascent-UCLA-tech-report - 1 ASCENT: Adaptive...

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Unformatted text preview: 1 ASCENT: Adaptive Self-Configuring sEnsor Networks Topologies. Alberto Cerpa and Deborah Estrin Department of Computer Science, University of California Los Angeles; and USC/Information Science Institute. {cerpa, destrin}@cs.ucla.edu February 2001. Abstract 1 Introduction The availability of micro-sensors and low-power wireless communications will enable the deployment of densely distributed sensor/actuator networks for a wide range of environmental monitoring applications from urban to wilderness environments; indoors and outdoors; and encompassing a variety of data types including acoustic, image, and various chemical and physical properties [24]. The sensor nodes will perform significant signal processing, computation, and network self-configuration to achieve scalable, robust and long-lived networks [1, 7, 8]. More specifically, sensor nodes will do local processing to reduce communications, and consequently, energy costs. These requirements pose interesting challenges for networking research. One of the challenges arises from the greatly increased level of dynamics . The large number of nodes will introduce increased levels of system dynamics , which in combination with the high level of environmental dynamics will make designing reliable systems a daunting task. Perhaps the most important technical challenge arises from the energy constraints imposed by unattended systems . These systems must be long-lived and operate without manual intervention, which implies that the system itself must execute the measurement and adaptive configuration in an energy constrained fashion. Finally, there are scaling challenges associated with the large numbers of nodes that will co-exist in such networks to achieve desired spatial coverage and robustness. In this paper, we describe and present experimental performance studies for a form of adaptive self- configuration designed for sensor networks. As we argue in Section 2, such unattended systems will need to self-configure and adapt to a wide variety of environmental dynamics and terrain conditions. These conditions produce regions with non-uniform communication density. We suggest that one of the ways system designers can address such challenging operating conditions is by deploying redundant nodes and designing the system algorithms to make use of that redundancy over time to extend the systems life. In ASCENT, each node assesses 2 its connectivity and adapts its participation in the multi-hop network topology based on the measured operating region. For instance, a node: Signals when it detects high message loss, requesting additional nodes in the region to join the network in order to rely messages to it....
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This note was uploaded on 08/25/2011 for the course EEL 5937 taught by Professor Staff during the Spring '08 term at University of Central Florida.

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Ascent-UCLA-tech-report - 1 ASCENT: Adaptive...

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