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TON
2010
173views more  TON 2010»
13 years 6 months ago
Minimizing delay and maximizing lifetime for wireless sensor networks with anycast
—In this paper, we are interested in minimizing the delay and maximizing the lifetime of event-driven wireless sensor networks, for which events occur infrequently. In such syste...
Joohwan Kim, Xiaojun Lin, Ness B. Shroff, Prasun S...
ECAI
2004
Springer
14 years 1 months ago
Multiple Relaxations in Temporal Planning
CRIKEY is a planner that separates out the scheduling from the classical parts of temporal planning. This can be seen as a relaxation of the temporal information during the classic...
Keith Halsey, Derek Long, Maria Fox
SLS
2009
Springer
224views Algorithms» more  SLS 2009»
14 years 2 months ago
High-Performance Local Search for Solving Real-Life Inventory Routing Problems
Abstract. In this paper, a real-life routing and scheduling problem encountered is addressed. The problem, which consists in optimizing the delivery of fluids by tank trucks on a ...
Thierry Benoist, Bertrand Estellon, Fréd&ea...
CONPAR
1994
13 years 11 months ago
A Framework for Resource-Constrained Rate-Optimal Software Pipelining
The rapid advances in high-performancecomputer architectureand compilationtechniques provide both challenges and opportunitiesto exploitthe rich solution space of software pipeline...
Ramaswamy Govindarajan, Erik R. Altman, Guang R. G...
GLOBECOM
2008
IEEE
14 years 2 months ago
Multi-Cluster Multi-Parent Wake-Up Scheduling in Delay-Sensitive Wireless Sensor Networks
—Immediate notification of urgent but rare events and delivery of time sensitive actuation commands appear in many practical wireless sensor and actuator network applications. M...
Huang Lee, Abtin Keshavarzian, Hamid K. Aghajan