Increasing Stability Period Using Nature-Inspired Technique in Wireless Sensor Network

Abstract Stability of the Wireless Sensor Network(WSN) is the most critical factor in real-time and data-sensitive applications like military and surveillance systems. Many energy optimization techniques and algorithms have been proposed to extend the stability of a wireless sensor network. Clustering is a well regarded method in the research communities among them. Hence, this paper presents hybrid hierarchical artificial intelligence based clustering techniques, named FLAG and I-FLAG. The first phase of these algorithms use game theoretic technique to elect suitable cluster heads(CHs) and later phase of the algorithms use fuzzy inference system to select appropriate super cluster heads(SCHs) among CHs. The I-FLAG is an improved version of FLAG where additional parameters like energy and distance are considered to elect CHs. Simulations are performed to check superiority of the proposed algorithms over the existing protocols like LEACH, CHEF, and CROSS. Simulation results show that the average stability period of WSN is better in FLAG and I-FLAG compared to other protocols, and so is the throughput of WSN during the stability period.

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Investigation: Life-Time and Stability Period in Wireless Sensor Network

2018 3rd International Conference for Convergence in Technology (I2CT) ◽

10.1109/i2ct.2018.8529814 ◽

2018 ◽

Cited By ~ 2

Author(s):

Ch Usha Kumari

Keyword(s):

Wireless Sensor Network ◽

Sensor Network ◽

Life Time ◽

Wireless Sensor ◽

Stability Period

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Development of Efficient Wireless Sensor Network for IoT based Applications

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.c8838.019320 ◽

2020 ◽

Vol 9 (3) ◽

pp. 2321-2326

Keyword(s):

Wireless Sensor Network ◽

Energy Loss ◽

Sensor Network ◽

Energy Utilization ◽

Wireless Sensor ◽

Main Concern ◽

Optimal Selection ◽

Stability Period ◽

Reducing Energy ◽

Selection Of

Wireless Sensor Network (WSN) is a rapidly growing area for IoT based research and applications. The main concern of research in WSN is to organize the node with different abilities including sensing range, communication range in the wireless network and route the detected data from the nodes to a central sink with dynamism. Clustering or Sector Formation is a key network employed to lengthen the lifespan of WSN by reducing energy utilization. LEACH is a sector algorithm in which the sector heads are arbitrarily chosen from the nodes and utilized to identify the solution with a better location to yield the energy loss sector heads. However, the non-optimal selection of sector head in LEACH cause the lesser lifespan of WSN. To overcome these issues, the Modified Quadrature-LEACH (MQ-LEACH) scheme is proposed in this paper which efficiently formed the sectors by selecting the optimal sector heads in the network. The simulation will be conducted in the NS2 environment where the essential parameters are evaluated for both proposed and existing methods. Further, the proposed scheme improves the network lifespan and stability period compared to existing schemes.

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