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Improved Algorithm for Broadcast Scheduling of Minimal Latency in Wireless Ad Hoc Networks
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作者 wei-ping shang Peng-jun Wan Xiao-dong Hu 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 2010年第1期13-22,共10页
A wide range of applications for wireless ad hoc networks are time-critical and impose stringent requirement on the communication latency. One of the key communication operations is to broadcast a message from a sourc... A wide range of applications for wireless ad hoc networks are time-critical and impose stringent requirement on the communication latency. One of the key communication operations is to broadcast a message from a source node. This paper studies the minimum latency broadcast scheduling problem in wireless ad hoc networks under collision-free transmission model. The previously best known algorithm for this NP-hard problem produces a broadcast schedule whose latency is at least 648(rmax/rmin)^2 times that of the optimal schedule, where rmax and rmin are the maximum and minimum transmission ranges of nodes in a network, respectively. We significantly improve this result by proposing a new scheduling algorithm whose approximation performance ratio is at most (1 + 2rmax/rmin)^2+32, Moreover, under the proposed scheduling each node just needs to forward a message at most once. 展开更多
关键词 BROADCAST LATENCY wireless ad hoc networks approximation algorithm
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Two-Agent Scheduling on a Bounded Parallel-Batching Machine with Makespan and Maximum Lateness Objectives
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作者 Qi Feng wei-ping shang +2 位作者 Cheng-Wen Jiao Wen-Jie Li 《Journal of the Operations Research Society of China》 EI CSCD 2020年第1期189-196,共8页
This paper studies the two-agent scheduling on a bounded parallel-batching machine.In the problem,there are two agents A and B each having their own job sets with the restriction that the processing times of jobs of a... This paper studies the two-agent scheduling on a bounded parallel-batching machine.In the problem,there are two agents A and B each having their own job sets with the restriction that the processing times of jobs of agent B are equal.The jobs of different agents can be processed in a common batch.Moreover,each agent has its own objective function to be minimized.The objective function of agent A is the makespan of its jobs,and the objective function of agent B is the maximum lateness of its jobs.We present a polynomial-time algorithm for finding all Pareto optimal solutions of this two-agent parallel-batching scheduling problem. 展开更多
关键词 Two-agent scheduling Parallel-batching Maximum lateness Pareto optimal points
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