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Improved Algorithms for Data-Gathering Time in Sensor Networks II: Ring, Tree, and Grid Topologies
Author(s) -
Yoram Revah,
Michael Segal
Publication year - 2009
Publication title -
international journal of distributed sensor networks
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.324
H-Index - 53
eISSN - 1550-1477
pISSN - 1550-1329
ISBN - 978-0-7695-2858-9
DOI - 10.1080/15501320902876071
Subject(s) - computer science , network topology , wireless sensor network , network packet , computer network , distributed computing , dijkstra's algorithm , real time computing , time complexity , scheduling (production processes) , ring network , algorithm , shortest path problem , graph , theoretical computer science , economics , operations management
We address the problem of gathering information in sensor webs consisting of sensors nodes, where in a round of communication sensor nodes have messages to be sent to a distant central node (called the base station) over shortest path. There is a wide range of data gathering applications like: target and hazard detection, environmental monitoring, battlefield surveillance, etc. Consequently, efficient data collection solutions are needed to improve the performance of the network. In this paper, we take into account the fact that interference can occurs at the reception of a message at the receiver sensor. In order to save redundant retransmissions and energy, we assume a known distribution of sources (each node wants to transmit at most one packet) and one common destination. We provide a number of scheduling algorithms jointly minimizing both the completion time and the average packet delivery time. We define our network model using directional antennas and consider Ring, Tree, and Grid Network (and its generality) topologies. All our algorithms run in low-polynomial time.

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