A Novel Approach Towards Selection of Role Model Cluster Head for Power Management in WSN

A Novel Approach Towards Selection of Role Model Cluster Head for Power Management in WSN

Ramkrishna Ghosh, Suneeta Mohanty, Prasant Kumar Pattnaik, Sabyasachi Pramanik
Copyright: © 2021 |Pages: 15
DOI: 10.4018/978-1-7998-3624-7.ch015
OnDemand:
(Individual Chapters)
Available
$37.50
Current Special Offers
No Current Special Offers
TOTAL SAVINGS: $37.50

Abstract

In this chapter, the authors present an innovative, smart controller to sustain mobility in wireless sensor networks (WSNs). Principally, the focal point is dependent on the arrangement of fuzzy input variables (i.e., remaining battery power [RBP], mobility, and centrality solution) to crucial usages, similar to personnel safety in an industrialized atmosphere. A mobility controller dependent upon type-1 fuzzy logic (T1FL) is planned to support sensor mobile nodes (MN). Here, a role model cluster head (RMCH) is picked out among the cluster heads (CHs) that may simply convey the message to the mobile base station (BS) by determining the appropriate type-1 fuzzy (T1F) descriptors such as RBP, mobility of the sink, and the centrality of the clusters. Type-1 fuzzy inference system (Mamdani's rule) is utilized to opt for the possibility to be RMCH. The validity of the introduced model is carried out by means of multiple linear regressions.
Chapter Preview
Top

Khan et al. (2012) have presented a fault detection scheme for WSNs. The scheme was based on forming a SN by Takagi-Sugeno-Kang (TSK) T1FIS, where a sensor measurement function of the neighboring SNs approximates sensor quantity of SN.

Lin et al. (2017) have developed a T1FIS and an algorithm for study of big data which introduced to consider the threat of fire and computed the measurable possible risk of fire. The elements transformed into a triangular type-1 fuzzy quantity are evaluated by defuzzification techniques and wanted output level for fire rating. The incessant day-and -night information for climate that could mirror the tremendous exact standing of woodland surroundings, was gathered by the energized WSN.

Zinonos et al. (2014) developed an intelligent controller to carry mobility in WSNs. The spotlight built upon exploitation of similar mobility way out to essential usages, similar to personnel safety in a manufacturing atmosphere. A mobility controller based upon T1FL is introduced to serve sensor MN to make a decision even if they have to activate handover process and achieve handover to a fresh link location or not.

Shokouhifar and Jalali (2017) have proposed an adaptive type-1 fuzzy clustering protocol, named as low energy adaptive clustering hierarchy (LEACH-SF) for the purpose of overcoming stated demerits. An algorithm fuzzy c-means in LEACH-SF is applied to collect all SNs into balanced clusters, and afterwards proper CHs are chosen via Sugeno T1FIS.

Complete Chapter List

Search this Book:
Reset