Maximizing System Value Among Interested Packets While Satisfying Time and Energy Constraints.

Interest is used as a constraint to filter uninterested data in sensor networks. Within these interested data some are more valuable than others. Sometimes among these interested data, we hope to process the more important data first. By using Reward to denote the important level of data, in this paper, we present a packet scheduling algorithm by considering four constraints (Energy, Time, Reward, and Interest) simultaneously. Based on simulation result, we find out that our ETRI-PS packet scheduling algorithm can substantially improve the information quality and reduce energy consumption.This work is partially supported by the Ministry of Commerce, Industry & Energy, Korea. [ABSTRACT FROM AUTHOR]