Adaptive dual prediction scheme based on sensing context similarity for wireless sensor networks

Autor:	Jong-Arm Jun, Tae-Wook Heo, Hyunhak Kim, Hoon Choi, Yoonmee Doh, Jongjun Park, JeongGil Ko
Rok vydání:	2014
Předmět:	Spatial correlation Key distribution in wireless sensor networks Engineering business.industry Sensor node Real-time computing Mobile wireless sensor network Electronic engineering Electrical and Electronic Engineering Sink (computing) business Wireless sensor network
Zdroj:	Electronics Letters. 50:467-469
ISSN:	1350-911X 0013-5194
DOI:	10.1049/el.2014.0165
Popis:	A novel adaptive dual-prediction scheme is introduced for minimising the data communication load for wireless sensor networks as a way to maximise the lifetime of resource-limited sensor nodes. Specifically, the proposed scheme exposes the fact that when sensing context prediction is used at both the sink node and the sensor nodes, the amount of data that need to be transmitted can be minimised. Furthermore, the transmission data quantity is reduced even more by exploiting the spatial correlation among different sensor nodes. On using this adaptive dual prediction scheme, the evaluations show that the amount of data transmissions can be compressed by as much as 20% against a basic dual prediction scheme, suggesting that the lifetime of sensor nodes can increase significantly in practical systems.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::de4fd2b348a2859920503af0c744e4ee https://doi.org/10.1049/el.2014.0165 Zobrazit plný text záznamu Plný text