Title
Scheduling multi-channel and multi-timeslot in time constrained wireless sensor networks via simulated annealing and particle swarm optimization.
Abstract
Timely communication in wireless multihop sensor networks requires high throughput and low delay, which can be achieved by exploiting multiple channels and time slots. Efficient scheduling becomes indispensable if multiple channels and time slots are utilized. Optimum scheduling of multiple channels and time slots in multihop networks is an NP-complete problem. We apply metaheuristic approaches to...
Year
DOI
Venue
2014
10.1109/MCOM.2014.6710073
IEEE Communications Magazine
Keywords
Field
DocType
Schedules,Wireless sensor networks,Job shop scheduling,Cooling,Vectors,Optimal scheduling,Social implications of technology,Social factors
Simulated annealing,Mathematical optimization,Job shop scheduling,Fair-share scheduling,Computer science,Real-time computing,Nurse scheduling problem,Rate-monotonic scheduling,Dynamic priority scheduling,Round-robin scheduling,Metaheuristic,Distributed computing
Journal
Volume
Issue
ISSN
52
1
0163-6804
Citations 
PageRank 
References 
19
0.72
2
Authors
2
Name
Order
Citations
PageRank
Yang G. Kim1231.13
Myung J. Lee211510.36