GRD Journals | Global Research and Development Journal for Engineering | International Conference on Innovations in Engineering and Technology (ICIET) - 2016 | July 2016
e-ISSN: 2455-5703
Enhancing EGRC using ANOVA based Clustering in Underwater Sensor Networks 1M.
Raghini 2S. Lavanya 3G. Nivetha 4R. Priya Dharshini 1 Assistant Professor 2,3,4Student 1,2,3,4 Department of Computer Science & Engineering 1,2,3,4 K.L.N. College of Engineering, Pottapalayam, Sivagangai 630612, India Abstract As reliability and efficient data transmission is the challenging factor in underwater sensor network, the application such as monitoring abnormal submarine pipelines becomes complex. Thus in the existing EGRC, the whole network which can be viewed as big cube is divided into small cube (SC) where SC is a cluster. To enhance the selection of optimal cluster-heads, we propose a new methodology DUAC which combines EGRC with ANOVA based clustering. In DUAC the node generating identical data sets are identified and aggregated the sets before sending them to the sink. Analysis and implementation results of DUAC enhance EGRC in terms of energy efficiency, reliability, end-to-end delay and power consumption. Keyword- Energy efficient Grid Routing protocol based on 3D Cubes (EGRC), Analysis Of Variance (ANOVA), Data transmission Using ANOVA Clustering (DUAC) __________________________________________________________________________________________________
I. INTRODUCTION Underwater acoustic sensor networks play an important role in marine resources exploration and development [1]. Researches on underwater acoustic sensor network provide the technique guarantee for information transmission in underwater. The sensor nodes collaborate with each other to execute monitoring tasks with reliability and energy efficiency. In aspects of communication mode, terrestrial underwater sensor network (TWSN) differs from UASN by using radio signal to transmit data instead of underwater acoustic channels[1]. The radio signal achieves high speed transmission in short distance which cannot reach the requirements of long distance underwater communication. Therefore radio signal is not suitable for underwater acoustic sensor network. The acoustic channels are highly variable. It changes according to temperature, pressure, salinity of water. In aspects of energy consumption, the nodes in TWSN can be changed but modems of UASN can hardly be changed. There are increasing demands for innovative methods to improve energy efficiency and to prolong the network lifetime. The node clustering and data aggregation at level of cluster heads are two common methods to organize data traffic and reduce in network redundancies while improving scalability and on energy consumption [2]. Many clustering protocols have been proposed in UASN however few protocols consider sensor reading, similarity and the correlation between received data. Thus the lack of suitable energy efficient protocol for handling such correlation leads us to study a data aggregation and clustering protocol [2]. The role of cluster head is to collect data from its node members aggregating these data before sending them to the sink. Therefore sensor node sends their reading to the cluster head that performs data aggregation in periodic manner. EGRC helps in clustering the node in the form of 3D cubes. The data transmission between source and destination is carried out through the cluster heads in each cluster. But still some redundancy is seen in cluster heads of EGRC which we took as an objective function. This made as to combine EGRC with ANNOVA to solve the above said objective function. This paper is organized as follows. In section II, we give the related literatures from five aspects. The detailed operation of EGRC and ANOVA is presented in section III. The methodology used in this paper is discussed in section IV. Implementation is explained in section V. section VI shows the performance evaluation. Results and discussions are explained in section VII. Finally we draw the main conclusion in section VIII.
II. RELATED WORK In UASN, a lot of researches have been proposed for data aggregation and data transmission based on clustering scheme to minimize energy consumption and extends the network lifetime. Ovaliadisk k et. Al. [5] proposed a new approach for better recovery of cluster head nodes in UWSN in which data dissemination protocol is responsible to distribute management command to all sensor nodes in the network and to update their configuration parameters.
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