Maximizing Quality of Aggregation in Delay-Constrained Wireless Sensor Networks

被引：10

作者：

Alinia, Bahram ^{[1
]}

Yousefi, Hamed ^{[2
]}

Talebi, Mohammad Sadegh ^{[3
]}

Khonsari, Ahmad ^{[4
,5
]}

机构：

[1] Univ Tehran, Dept Elect & Comp Engn, Tehran, Iran

[2] Sharif Univ Technol, Dept Comp Engn, Tehran, Iran

[3] KTH Royal Inst Technol, Sch Elect Engn, S-10044 Stockholm, Sweden

[4] Univ Tehran, Coll Engn, Sch ECE, Tehran, Iran

[5] IPM, Sch Comp Sci, Tehran, Iran

来源：

IEEE COMMUNICATIONS LETTERS | 2013年 / 17卷 / 11期

关键词：

Wireless sensor networks; quality of aggregation; combinatorial optimization; Pareto-optimality;

D O I：

10.1109/LCOMM.2013.100413.131631

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

In this letter, both the number of participating nodes and spatial dispersion are incorporated to establish a bi-objective optimization problem for maximizing the quality of aggregation under interference and delay constraints in tree-based wireless sensor networks (WSNs). The formulated problem is proved to be NP-hard with respect to Weighted-sum scalarization and a distributed heuristic aggregation scheduling algorithm, named SDMAX, is proposed. Simulation results show that SDMAX not only gives a close approximation of the Pareto-optimal solution, but also outperforms the best, to our knowledge, existing alternative proposed so far in the literature.

引用

页码：2084 / 2087

页数：4

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