A Load-Balanced and Low-Delay Data Collection for Wireless Sensor Networks

Autor:	Shaojun Zou, Xiaoyan Kui, Huakun Du, Junbin Liang, Zhixiong Liu
Rok vydání:	2018
Předmět:	Data collection Path length business.industry Computer science Shortest-path tree Low delay Energy consumption business Fat tree Wireless sensor network Energy (signal processing) Computer network
Zdroj:	Computational Data and Social Networks ISBN: 9783030046477 CSoNet
DOI:	10.1007/978-3-030-04648-4_39
Popis:	Energy consumption of nodes and delay in data collection are both important issues in large-scale wireless sensor networks. It is a challenging problem to achieve the goal of balancing energy consumption of nodes and shortening data collection delay at the same time. The paper utilizes a mobile data collector to collect data in the network and proposes a delay-constrained data collection algorithm named LAWA. LAWA constructs a shortest path tree (named load-balanced fat tree) according to the energy of nodes and the number of hops among nodes. Theoretical analyses and massive simulations show that, LAWA cannot only balance the energy consumption of nodes to prolong the network lifetime, but also shorten the path length of the mobile data collector and reduce the delay in data collection when compared with other existing algorithms.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2a8f332b7f1cb51221924e2ac85e77d0 https://doi.org/10.1007/978-3-030-04648-4_39 Zobrazit plný text záznamu