An Energy Efficient Data Gathering in Dense Mobile Wireless Sensor Networks

R Velmani,B Kaarthick

doi:10.1155/2014/518268

Abstract

Amidst of the growing impact of wireless sensor networks (WSNs) on real world applications, numerous schemes have been proposed for collecting data on multipath routing, tree, clustering, and cluster tree. Effectiveness of WSNs only depends on the data collection schemes. Existing methods cannot provide a guaranteed reliable network about mobility, traffic, and end-to-end connection, respectively. To mitigate such kind of problems, a simple and effective scheme is proposed, which is named as cluster independent data collection tree (CIDT). After the cluster head election and cluster formation, CIDT constructs a data collection tree (DCT) based on the cluster head location. In DCT, data collection node (DCN) does not participate in sensing, which is simply collecting the data packet from the cluster head and delivering it into sink. CIDT minimizes the energy exploitation, end-to-end delay and traffic of cluster head due to transfer of data with DCT. CIDT provides less complexity involved in creating a tree structure, which maintains the energy consumption of cluster head that helps to reduce the frequent cluster formation and maintain a cluster for considerable amount of time. The simulation results show that CIDT provides better QoS in terms of energy consumption, throughput, end-to-end delay, and network lifetime for mobility-based WSNs.

Highlights

wireless sensor networks (WSNs) have recently come into prominence because they hold potential to revolutionize many segments of our economical life, environmental monitoring, health care applications, infrastructure protection, context-aware computing, and battlefield awareness [1]
To overcome the existing limitations in the above Flat/Unstructured Topology (FT), CT, Cluster Based Topology (CBT), Tree Based Topology (TBT), and Cluster Tree Topology (CTT), we propose a novel logical topology for data collection, namely, cluster independent data collection tree (CIDT)
data collection tree (DCT) discovers an optimal path between the cluster head and the sink based on the distance, connection time, threshold value, and residual energy

Summary

Introduction

WSNs have recently come into prominence because they hold potential to revolutionize many segments of our economical life, environmental monitoring, health care applications, infrastructure protection, context-aware computing, and battlefield awareness [1]. The ultimate goal of such WSNs is often to deliver the sensing data from sensor nodes to sink node and conduct further analysis at the sink node [2] To perform such tasks effectively, several network routing protocols have been proposed mainly for data collection. Topologies in WSNs define the dimension of the sensor node group and managing the addition of new members as well as dealing with members who left the group. This paper deals with an existing data collection topology and the proposed logical topology called DCT It overcomes the existing limitations such as network lifetime and minimizes the energy consumption with effective data collection [4]

Related Work

Problem Statement

Results and Discussion

Conclusions