MULTIDIMENSIONAL ANALYSIS FOR
International Journal of Computer Science & Engineering Survey (IJCSES) Vol.4, No.4, August 2013
MULTIDIMENSIONAL ANALYSIS FOR
QOS IN WIRELESS SENSOR NETWORKS
Ziyati Elhoussaine1, Rachid Haboub1, Mohammed Ouzzif1 and Khadija Bami1
1
RITM laboratory, Computer science and Networks team.
ENSEM - ESTC - UH2C, Casablanca, Morocco ziyati@gmail.com ABSTRACT
Nodes in Mobile Ad-hoc network are connected wirelessly and the network is auto configuring [1]. This paper introduces the usefulness of data warehouse as an alternative to manage data collected by WSN.
Wireless Sensor Network produces huge quantity of data that need to be proceeded and homogenised, so as to help researchers and other people interested in the information. Collected data is managed and compared with other coming from datasources and systems could participate in technical report and decision making. This paper proposes a model to design, extract, transform and normalize data collected by Wireless Sensor Networks by implementing a multidimensional warehouse for comparing many aspects in WSN such as (routing protocol[4], sensor, sensor mobility, cluster ….). Hence, data warehouse defined and applied to the context above is presented as a useful approach that gives specialists row data and information for decision processes and navigate from one aspect to another.
KEYWORDS
Network Protocols, WSN, Data Warehouse, multidimensional design, OLAP, Routing Protocol
1. INTRODUCTION
As known, the demand for smart phones and portable devices has developed year by year since their introduction. These items can be used to form a MANET. A MANET consists of arbitrary deployed communicational devices such as PDAs, cell phones, laptops, etc. It is a wireless multihop network where all nodes insure data exchange.
WSN is managed by the network nodes themselves; as there is no special device or router involved, every node itself work as a router to forward the traffic.
Energy in ad-hoc
MULTIDIMENSIONAL ANALYSIS FOR
QOS IN WIRELESS SENSOR NETWORKS
Ziyati Elhoussaine1, Rachid Haboub1, Mohammed Ouzzif1 and Khadija Bami1
1
RITM laboratory, Computer science and Networks team.
ENSEM - ESTC - UH2C, Casablanca, Morocco ziyati@gmail.com ABSTRACT
Nodes in Mobile Ad-hoc network are connected wirelessly and the network is auto configuring [1]. This paper introduces the usefulness of data warehouse as an alternative to manage data collected by WSN.
Wireless Sensor Network produces huge quantity of data that need to be proceeded and homogenised, so as to help researchers and other people interested in the information. Collected data is managed and compared with other coming from datasources and systems could participate in technical report and decision making. This paper proposes a model to design, extract, transform and normalize data collected by Wireless Sensor Networks by implementing a multidimensional warehouse for comparing many aspects in WSN such as (routing protocol[4], sensor, sensor mobility, cluster ….). Hence, data warehouse defined and applied to the context above is presented as a useful approach that gives specialists row data and information for decision processes and navigate from one aspect to another.
KEYWORDS
Network Protocols, WSN, Data Warehouse, multidimensional design, OLAP, Routing Protocol
1. INTRODUCTION
As known, the demand for smart phones and portable devices has developed year by year since their introduction. These items can be used to form a MANET. A MANET consists of arbitrary deployed communicational devices such as PDAs, cell phones, laptops, etc. It is a wireless multihop network where all nodes insure data exchange.
WSN is managed by the network nodes themselves; as there is no special device or router involved, every node itself work as a router to forward the traffic.
Energy in ad-hoc
References: V. Kanakaris, D. Ndzi and D. Azzi, “Ad-hoc Networks Energy Consumption: A review of Ad-Hoc Routing Protocols”, Journal of Engineering Science and Technology Review 3 (1) (2010),pp.162167. Mazon, ´ J.-N. and Trujillo, J. (2006). “Enriching Data Warehouse Dimension Hierarchies by using Semantic Relations” R. Kimball, “A Dimensional Modeling Manifesto,” in DBMS and Internet Systems, San Francisco, 1997, pp