Optimization Techniques Incorporating Evolutionary Model in Wireless Sensor Network: A Survey

Honguntikar, Vidya; Biradar, G. S.

doi:10.9790/0661-16521924

Cited by 5 publications

(2 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are several Bio-inspired Evolutionary techniques like Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Queen Bee Algorithm, Elephant Swarm Optimization, Genetic Algorithm etc. used to address the challenges of WSN [3]. Few of them addressing the Energy Efficiency are discussed here which provides motivation for our work.…”

Section: Related Papers and Motivationmentioning

confidence: 99%

Bio-inspired Energy Efficient Collision Free Sleep Scheduled Transmission in Wireless Sensor Network

Honguntikar¹,

Biradar²

2016

IJERT

View full text Add to dashboard Cite

Energy Conservation is the need of the hour to prolong the Lifetime of a Wireless Sensor Network (WSN). Collision, idle listening and Over hearing are the major sources of Energy inefficiency. In the recent years Bio-systems have been an inspiration for Self-organized sleep scheduling transmission in WSN. Inspired by the Behavior of Anuran family species we in this paper have implemented Self-organized sleep scheduling transmission technique on a Physical test bed. Experimental results of Self-organized sleep scheduled transmission are compared with Random transmission to conclude that the Energy consumption of the battery is less in the proposed technique.

show abstract

Section: Related Papers and Motivationmentioning

confidence: 99%

Bio-inspired Energy Efficient Collision Free Sleep Scheduled Transmission in Wireless Sensor Network

Honguntikar¹,

Biradar²

2016

IJERT

View full text Add to dashboard Cite

show abstract

“…We presented such evolutionary behaviour observed from the environment and incorporating similar techniques in different areas of WSN in our survey paper [3]. Some of the Bio-inspired Algorithm like PSO, ACO, BEES optimization, Elephant optimization, Cuckoo search, Bat Algorithm, Firefly Algorithm and Genetic Algorithm are discussed briefly in the survey paper.…”

Section: Introductionmentioning

confidence: 99%

Frog-Based Routing Algorithm to Enhance the Network Lifetime of Wireless Sensor Networks

Honguntikar¹,

Biradar²

2017

IJCNIS

Self Cite

View full text Add to dashboard Cite

Abstract-Wireless Sensor Networks (WSN) finds wide applications in both Target tracking and Environment monitoring in almost every field, with the demand growing day by day. Routing is considered as the most important challenge in designing a WSN. To enhance the Network Lifetime, there is a need to have a balanced load sharing with equal consumption of Energy by all the nodes in the Network. Several Routing Protocols have been developed that are inspired by the collective behaviour and principles of social insects and animal societies. Inspired by the Frog behaviour, we in this paper propose an Energy efficient distributed Frog-Based Routing (FBR) algorithm for WSN. Routing path is established considering the nodes that have high residual Energy which makes all the nodes die around the same time, prolonging the Network Lifetime. Simulation was carried out using NS2 and the results of FBR algorithm are compared with two other Energy Efficient Routing Protocols LEACH and SPIN for the evaluation of different performance metrics.

show abstract

Bio-inspired Energy Aware Scheduling and Routing in Wireless Sensor Networks to Enhance the Network Lifetime

Honguntikar

Biradar

Patil

2018

International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI) 2018

View full text Add to dashboard Cite

Optimization Techniques Incorporating Evolutionary Model in Wireless Sensor Network: A Survey

Cited by 5 publications

References 16 publications

Bio-inspired Energy Efficient Collision Free Sleep Scheduled Transmission in Wireless Sensor Network

Bio-inspired Energy Efficient Collision Free Sleep Scheduled Transmission in Wireless Sensor Network

Frog-Based Routing Algorithm to Enhance the Network Lifetime of Wireless Sensor Networks

Bio-inspired Energy Aware Scheduling and Routing in Wireless Sensor Networks to Enhance the Network Lifetime

Contact Info

Product

Resources

About