Management Scheme for Data Collection within Wireless Sensor Networks

Management Scheme for Data Collection within Wireless Sensor Networks

Sami J. Habib (Kuwait University, Kuwait) and Paulvanna N. Marimuthu (Kuwait University, Kuwait)
DOI: 10.4018/jaras.2012040104
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Abstract

This paper proposes a data management scheme which employs an energy constrained algorithm selecting between direct and multi-hop transmissions autonomously based on the residual energy level of the individual sensors. The proposed data management scheme rules out the selection of hotspot sensors, the sensors located closer to the base stations, as the intermediate sensors to avoid the dying of these sensors. In each data transmission, the scheme selects one of the neighborhood sensors having minimal Euclidean distance and maximum energy-level as the intermediate node from the neighboring set, without repeating the selection. The proposed data management scheme manages the data collection by utilizing two scheduling algorithms; as soon as possible (ASAP) and as late as possible (ALAP). As a measure of performance, the simulation results of the data management scheme have been compared with that of minimum connected dominating set algorithm (MCDS). The simulation results demonstrate that the data management scheme outperforms with respect to consume less energy; moreover, it can be observed that the scheme finishes an overall short waiting time of the selected sensors compared to the direct transmission in transmitting the data to the base station. The robustness of the proposed scheme is tested by varying the network sizes and varying the sensing radii.
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The limited energy resource possessed by the tiny sensor nodes in WSN leads to many proposals by various researchers to minimize the energy consumption during the sensor’s operation. Each sensor actively performs the sensing, computing and communication operations periodically and each operation consumes energy. Our data management scheme focuses on energy savings in communication, as it drains more energy from the battery.

Many of the recent papers considered single-hop communication as a communication scheme in transmitting the data to the base station and suggested energy minimization schemes to extend the life time of the sensor network (Prabhakar, 2001; Singh & Prasanna, 2003). An energy balanced algorithm for sorting in wireless sensor networks was proposed by Singh and Prasanna (2003). They resolved the unbalance in the energy consumption of a single-hop network by searching for a node with maximum residual energy.

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