RSS-Based Selective Clustering Technique Using Master Node for WSN
Open Access
- 1 January 2021
- journal article
- research article
- Published by Tech Science Press in Computers, Materials & Continua
- Vol. 69 (3) , 3917-3930
Abstract
Wireless sensor networks (WSN) are designed to monitor the physical properties of the target area. The received signal strength (RSS) plays a significant role in reducing sensor node power consumption during data transmission. Proper utilization of RSS values with clustering is required to harvest the energy of each network node to prolong the network life span. This paper introduces the RSS-based energy-efficient selective clustering technique using a master node (RESCM) to improve energy utilization using a master node. The master node positioned at the center of the network area and base station (BS) is placed outside the network area. During cluster head (CH) selection, the node with a high RSS value is more likely to become CH. The network is divided into segments according to the distance from the master node. All nodes near BS or master node transmit their data using direct transmission without the clustering process. The simulation results showed that the RESCM method improves the total network lifespan effectively.Keywords
This publication has 23 references indexed in Scilit:
- A Wireless Sensor Network Border Monitoring System: Deployment Issues and Routing ProtocolsIEEE Sensors Journal, 2017
- A Survey on Successors of LEACH ProtocolIEEE Access, 2017
- Packet Size Optimization in Wireless Sensor Networks for Smart Grid ApplicationsIEEE Transactions on Industrial Electronics, 2016
- A Fuzzy Logic-Based Clustering Algorithm for WSN to Extend the Network LifetimeIEEE Sensors Journal, 2015
- Enhancing network lifetime in precision agriculture using Apteen protocol2015
- Performance Management of IEEE 802.15.4 Wireless Sensor Network for Precision AgricultureIEEE Sensors Journal, 2015
- Scalable Data-Coupled Clustering for Large Scale WSNIEEE Transactions on Wireless Communications, 2015
- Mobile Sink-Based Adaptive Immune Energy-Efficient Clustering Protocol for Improving the Lifetime and Stability Period of Wireless Sensor NetworksIEEE Sensors Journal, 2015
- HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networksIEEE Transactions on Mobile Computing, 2004
- An application-specific protocol architecture for wireless microsensor networksIEEE Transactions on Wireless Communications, 2002