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Author Arumugam, Rajkumar ♦ Subramanian, Vinod ♦ Ali, A.
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Extended Environment ♦ Military Surveillance ♦ Node Id ♦ Palm-sized Device ♦ Smart Dust ♦ Large-scale Sensor Network ♦ Computational Capacity ♦ Monitoring Station ♦ Several Advantage ♦ Geographical Location ♦ Wireless Communication ♦ Wireless Communication Capability ♦ Direct Long-range Communication ♦ System Level ♦ Disaster Relief ♦ Custom-designed Network ♦ External User ♦ Reliable Communication ♦ Environmental Monitoring ♦ Smart Paint ♦ Unreliable Node ♦ Networkable Sensor ♦ Energy Resource ♦ Smart Matter ♦ Large Number ♦ Many Situation ♦ Intelligent Broadcast ♦ Limited Reliability ♦ Term Largescale Sensor Network
Description Proc. Int. Conf. on Complex Systems (ICCS2002
With advances in miniaturization, wireless communication, and the theory of selforganizing systems, it has become possible to consider scenarios where a very large number of networkable sensors are deployed randomly over an extended environment and organize themselves into a network. Such networks — which we term largescale sensor networks (LSSN’s) — can be useful in many situations, including military surveillance, environmental monitoring, disaster relief, etc. The idea is that, by deploying an LSSN, an extended environment can be rendered observable for an external user (e.g., a monitoring station) or for users within the system (e.g., persons walking around with palm-sized devices). Unlike custom-designed networks, these randomly deployed networks need no pre-design and configure themselves through a process of self-organization. The sensor nodes themselves are typically anonymous, and information is addressed by location or attribute rather than by node ID. This approach provides several advantages, including: 1) Scalability; 2) Robustness; 3) Flexibility; 4) Expandability; and 5) Versatility. Indeed, this abstraction is implicit in such ideas as smart paint, smart dust, and smart matter. The purpose of our research is to explore how a system comprising a very large number of randomly distributed nodes can organize itself to communicate information between designated geographical locations. To keep the system realistic, we assume that each node has only limited reliability, energy resources, wireless communication capabilities, and computational capacity. Thus, direct long-range communication between nodes is not possible, and most messaging involves a large number of “hops” between neighboring nodes. In particular, we are interested in obtaining reliable communication at the system level from simple, unreliable nodes. 1
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2002-01-01