An adaptive cuckoo search based algorithm for placement of relay nodes in wireless body area networks

The evolution of wireless body area networks (WBAN) has changed the human life for its applications in the field of healthcare, fitness, entertainment and sports etc. However, two of the major challenges in the design of WBAN are energy efficiency and connectivity. The placement of relay nodes in a...

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Main Authors: Tushar Kanta Samal, Sushree Chinmayee Patra, Manas Ranjan Kabat
Format: Article
Language:English
Published: Springer 2022-05-01
Series:Journal of King Saud University: Computer and Information Sciences
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Online Access:http://www.sciencedirect.com/science/article/pii/S1319157819305804
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author Tushar Kanta Samal
Sushree Chinmayee Patra
Manas Ranjan Kabat
author_facet Tushar Kanta Samal
Sushree Chinmayee Patra
Manas Ranjan Kabat
author_sort Tushar Kanta Samal
collection DOAJ
description The evolution of wireless body area networks (WBAN) has changed the human life for its applications in the field of healthcare, fitness, entertainment and sports etc. However, two of the major challenges in the design of WBAN are energy efficiency and connectivity. The placement of relay nodes in a wireless body area network (WBAN) plays an important role in design of energy efficient and reliable WBAN. This problem is a joint problem of data routing and placement of relay nodes and formulated as a linear integer programming model. The main objective of the problem is to minimize the cost of relay nodes, energy consumption and distributing the loads uniformly on the relay nodes. Considering the hardness of the problem, we propose an adaptive cuckoo search based algorithm which uses an efficient fitness function and an adaptive step size proportional to the fitness function for placement of relay nodes. The set of relay nodes obtained by our proposed adaptive cuckoo search algorithm compared with cuckoo search as well as other state of the art algorithms via simulation results. The simulation results reveal that the proposed algorithm not only consumes less energy than its counterparts but also distributes the load evenly on the relay nodes. We consider two different postures of the body with 13 biosensors placed in fixed positions and 50–100 candidate sites for placement of relay nodes. Furthermore, we also consider 80 biosensors randomly deployed in a rectangular area with 50–300 candidate sites to study the scalability of our algorithm.
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spelling doaj-art-3ed0432a6cc64c3e9dd9b1dc359e994c2025-08-20T03:51:58ZengSpringerJournal of King Saud University: Computer and Information Sciences1319-15782022-05-013451845185610.1016/j.jksuci.2019.11.002An adaptive cuckoo search based algorithm for placement of relay nodes in wireless body area networksTushar Kanta Samal0Sushree Chinmayee Patra1Manas Ranjan Kabat2Corresponding author.; Department of Computer Science and Engineering, VSS University of Technology, Burla, IndiaDepartment of Computer Science and Engineering, VSS University of Technology, Burla, IndiaDepartment of Computer Science and Engineering, VSS University of Technology, Burla, IndiaThe evolution of wireless body area networks (WBAN) has changed the human life for its applications in the field of healthcare, fitness, entertainment and sports etc. However, two of the major challenges in the design of WBAN are energy efficiency and connectivity. The placement of relay nodes in a wireless body area network (WBAN) plays an important role in design of energy efficient and reliable WBAN. This problem is a joint problem of data routing and placement of relay nodes and formulated as a linear integer programming model. The main objective of the problem is to minimize the cost of relay nodes, energy consumption and distributing the loads uniformly on the relay nodes. Considering the hardness of the problem, we propose an adaptive cuckoo search based algorithm which uses an efficient fitness function and an adaptive step size proportional to the fitness function for placement of relay nodes. The set of relay nodes obtained by our proposed adaptive cuckoo search algorithm compared with cuckoo search as well as other state of the art algorithms via simulation results. The simulation results reveal that the proposed algorithm not only consumes less energy than its counterparts but also distributes the load evenly on the relay nodes. We consider two different postures of the body with 13 biosensors placed in fixed positions and 50–100 candidate sites for placement of relay nodes. Furthermore, we also consider 80 biosensors randomly deployed in a rectangular area with 50–300 candidate sites to study the scalability of our algorithm.http://www.sciencedirect.com/science/article/pii/S1319157819305804Wireless body area networkCuckoo searchAdaptive cuckoo searchRelay nodeEnergy efficiencyLoad
spellingShingle Tushar Kanta Samal
Sushree Chinmayee Patra
Manas Ranjan Kabat
An adaptive cuckoo search based algorithm for placement of relay nodes in wireless body area networks
Journal of King Saud University: Computer and Information Sciences
Wireless body area network
Cuckoo search
Adaptive cuckoo search
Relay node
Energy efficiency
Load
title An adaptive cuckoo search based algorithm for placement of relay nodes in wireless body area networks
title_full An adaptive cuckoo search based algorithm for placement of relay nodes in wireless body area networks
title_fullStr An adaptive cuckoo search based algorithm for placement of relay nodes in wireless body area networks
title_full_unstemmed An adaptive cuckoo search based algorithm for placement of relay nodes in wireless body area networks
title_short An adaptive cuckoo search based algorithm for placement of relay nodes in wireless body area networks
title_sort adaptive cuckoo search based algorithm for placement of relay nodes in wireless body area networks
topic Wireless body area network
Cuckoo search
Adaptive cuckoo search
Relay node
Energy efficiency
Load
url http://www.sciencedirect.com/science/article/pii/S1319157819305804
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