JOURNAL ARTICLE

An optimal RSSI-based cluster-head selection for sensor networks

Khushboo JainAnoop Kumar

Year: 2019 Journal:   International Journal of Adaptive and Innovative Systems Vol: 2 (4)Pages: 349-349

Abstract

Wireless sensor networks (WSNs) are becoming a very auspicious key to better address reliability to constant, accurate environmental monitoring. Although energy utilisation is one of the most common challenges, frequent communication between the sensor nodes (SNs) results in a huge energy drain. Moreover, load balancing and optimisation within the WSN are the significant factors for the extensive period of network lifetime. In fact, many such networks are deployed and operating outdoors is exposed to varying environmental conditions, which may further set grounds for severe performance degradation. Therefore, it is necessary to take into consideration factors like radio signal strength index to reduce the impact and to adapt to varying environmental conditions. In this paper, we propose an optimal RSSI CH selection (ORCHS) algorithm that is also based on environmental conditions to achieve energy efficiency and enhanced network lifetime by effectively managing energy levels within the network.

Keywords:
Wireless sensor network Computer science Reliability (semiconductor) Energy (signal processing) Key (lock) Selection (genetic algorithm) Computer network Efficient energy use Set (abstract data type) Engineering Computer security Electrical engineering

Metrics

5
Cited By
0.97
FWCI (Field Weighted Citation Impact)
16
Refs
0.78
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Energy Efficient Wireless Sensor Networks
Physical Sciences →  Computer Science →  Computer Networks and Communications
Energy Harvesting in Wireless Networks
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Mobile Ad Hoc Networks
Physical Sciences →  Computer Science →  Computer Networks and Communications
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