Transmission-Efficient Clustering Method for Wireless Sensor Networks Using Compressive Sensing

Transmission-Efficient Clustering Method for Wireless Sensor Networks Using Compressive Sensing

ABSTRACT:

Compressive sensing (CS) can reduce the number of data transmissions and balance the traffic load throughout networks. However, the total number of transmissions for data collection by using pure CS is still large. The hybrid method of using CS was proposed to reduce the number of transmissions in sensor networks. However, the previous works use the CS method on routing trees. In this paper, we propose a clustering method that uses hybrid CS for sensor networks. The sensor nodes are organized into clusters. Within a cluster, nodes transmit data to cluster head (CH) without using CS. CHs use CS to transmit data to sink. We first propose an analytical model that studies the relationship between the size of clusters and number of transmissions in the hybrid CS method, aiming at finding the optimal size of clusters that can lead to minimum number of transmissions. Then, we propose a centralized clustering algorithm based on the results obtained from the analytical model. Finally, we present a distributed implementation of the clustering method. Extensive simulations confirm that our method can reduce the number of transmissions significantly

EXISTING SYSTEM:

In many sensor network applications, such as environment monitoring systems, sensor nodes need to collect data periodically and transmit them to the data sink through multihops. According to field experiments, data communication contributes majority of energy consumption of sensor nodes. It has become an important issue to reduce the amount of data transmissions in sensor networks. The emerging technology of compressive sensing (CS) opens new frontiers for data collection in sensor networks and target localization in sensor networks. The CS method can substantially reduce the amount of data transmissions and balance the traffic load throughout the entire network.

DISADVANTAGES OF EXISTING SYSTEM:

1. Every node needs to transmit large number of packets for a set of data items.

2. This uses the CS method on routing trees which not efficient than clustering method.

PROPOSED SYSTEM:

In this paper, we propose a clustering method that uses the hybrid CS for sensor networks. The sensor nodes are organized into clusters. Within a cluster, nodes transmit data to the cluster head (CH) without using CS. A data gathering tree spanning all CHs is constructed to transmit data to the sink by using the CS method.  If the cluster size is too big, the number of transmissions required to collect data from sensor nodes within a cluster to the CH will be very high. But if the cluster size is too small, the number of clusters will be large and the data gathering tree for all CHs to transmit their collected data to the sink will be large, which would lead to a large number of transmissions by using the CS method. In this regard, we first propose an analytical model that studies the relationship between the size of clusters and number of transmissions in the hybrid CS method, aiming at finding the optimal size of clusters that can lead to minimum number of transmissions. Then, we propose a centralized clustering algorithm based on the results obtained from the analytical model. Finally, we present a distributed implementation of the clustering method.

ADVANTAGES OF PROPOSED SYSTEM:

1. The clustering method generally has better traffic load balancing than the tree data gathering method.

2. The proposed distributed method is efficient in terms of the low communication cost and effective in reducing the number of transmissions.

SYSTEM REQUIREMENTS:

HARDWARE REQUIREMENTS:

Ø System                          :         Pentium IV 2.4 GHz.

Ø Hard Disk                      :         40 GB.

Ø Floppy Drive                 :         1.44 Mb.

Ø Monitor                         :         15 VGA Colour.

Ø Mouse                            :         Logitech.

Ø Ram                               :         512 Mb.

SOFTWARE REQUIREMENTS:

Ø Operating system           :         Windows XP/7.

Ø Coding Language :         ASP.net, C#.net

Ø Tool                     :         Visual Studio 2010

Ø Database              :         SQL SERVER 2008

REFERENCE:

Ruitao Xie and Xiaohua Jia, Fellow, IEEE, Computer Society “Transmission-Efficient Clustering Method for Wireless Sensor Networks Using Compressive Sensing” IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS,VOL. 25,NO. 3, MARCH 2014.