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GECCO
2010
Springer
154views Optimization» more  GECCO 2010»
13 years 11 months ago
Evolutionary learning in networked multi-agent organizations
This study proposes a simple computational model of evolutionary learning in organizations informed by genetic algorithms. Agents who interact only with neighboring partners seek ...
Jae-Woo Kim
INFOCOM
2008
IEEE
14 years 1 months ago
On the Construction of a Maximum-Lifetime Data Gathering Tree in Sensor Networks: NP-Completeness and Approximation Algorithm
Abstract—Energy efficiency is critical for wireless sensor networks. The data gathering process must be carefully designed to conserve energy and extend the network lifetime. Fo...
Yan Wu, Sonia Fahmy, Ness B. Shroff
TON
2010
171views more  TON 2010»
13 years 1 months ago
Constructing Maximum-Lifetime Data-Gathering Forests in Sensor Networks
Abstract--Energy efficiency is critical for wireless sensor networks. The data-gathering process must be carefully designed to conserve energy and extend network lifetime. For appl...
Yan Wu, Zhoujia Mao, Sonia Fahmy, Ness B. Shroff
EWSN
2007
Springer
14 years 6 months ago
RIDA: A Robust Information-Driven Data Compression Architecture for Irregular Wireless Sensor Networks
Abstract. In this paper, we propose and evaluate RIDA, a novel informationdriven architecture for distributed data compression in a sensor network, allowing it to conserve energy a...
Xuan Thanh Dang, Nirupama Bulusu, Wu-chi Feng
TWC
2010
13 years 1 months ago
Efficient Measurement Generation and Pervasive Sparsity for Compressive Data Gathering
We proposed compressive data gathering (CDG) that leverages compressive sampling (CS) principle to efficiently reduce communication cost and prolong network lifetime for large scal...
Chong Luo, Feng Wu, Jun Sun, Chang Wen Chen