基于拓?fù)淇刂频漠愵悷o(wú)線傳感器網(wǎng)絡(luò)分簇算法研究

隨著傳感器網(wǎng)絡(luò)的發(fā)展，如何減小傳感器網(wǎng)絡(luò)的能量消耗、延長(zhǎng)使用壽命已經(jīng)成為傳感器網(wǎng)絡(luò)結(jié)構(gòu)設(shè)計(jì)的一個(gè)重要問(wèn)題。研究表明采用分簇結(jié)構(gòu)以及對(duì)網(wǎng)絡(luò)進(jìn)行適當(dāng)?shù)耐負(fù)淇刂瓶梢蕴岣吣芰坷眯?。該文將簇?gòu)造方法與拓?fù)淇刂平Y(jié)合起來(lái)，針對(duì)網(wǎng)絡(luò)具有不同節(jié)點(diǎn)，即每個(gè)節(jié)點(diǎn)具有不同的最大能量傳輸范圍的情況，提出了一種針對(duì)異類無(wú)線傳感器網(wǎng)絡(luò)，利用局部拓?fù)淇刂?a target='_blank' class='arckwlink_none'>算法進(jìn)行優(yōu)化的分簇算法。實(shí)驗(yàn)結(jié)果表明了運(yùn)用該算法的有效性。

One of the most critical issues in designing wireless sensor networks is to minimize the energy consumption for longevity. Most of topology control algorithms assume homogeneous wireless nodes with uniform maximum transmission ranges, and can not directly applied to heterogeneous wireless multi-hop networks in which the maximum transmission range of each node may be different. In this paper, we present a localized clustering algorithm for heterogeneous networks. In this algorithm, each node in the same cluster selects a set of neighbors based on the locally collected information. Simulation results show that this algorithm can reduces the average degree of cluster-head and the average translate power.