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International Journal of Sensors, Wireless Communications and Control

Editor-in-Chief

ISSN (Print): 2210-3279
ISSN (Online): 2210-3287

Research Article

STBCP: An Energy Efficient Sub-threshold Bee Colony-based Protocol for Wireless Sensor Networks

Author(s): Ghazaleh Kia and Alireza Hassanzadeh*

Volume 9, Issue 4, 2019

Page: [443 - 453] Pages: 11

DOI: 10.2174/2210327909666190208160146

Price: $65

Abstract

Background & Objective: In this paper, a new energy efficient LEACH-based protocol for wireless sensor network is presented. One of the main issues in Wireless Sensor Networks (WSNs) is the battery consumption. In fact, changing batteries is a time consuming task and expensive. It is even impossible in many remote WSNs.

Methods: The main goal of the presented protocol is to decrease the energy consumption of each node and increase the network lifetime. Lower power consumption results in longer battery lifetime. This protocol takes the advantage of sub-threshold technique and bee colony algorithm in order to optimize the energy consumption of a WSN. Simulation results show that the energy consumption of the wireless sensor network reduces by 25 percent using STBCP in comparison with recent LEACHbased protocols. It has been shown that the average energy of the network remains balanced and the distribution of residual energy in each round is equitable.

Conclusion: In addition, the lifetime of a network using STBCP protocol has been increased by 23 percent regarding recently presented routing protocols.

Keywords: Bee colony, energy optimization, LEACH protocol, network lifetime, wireless sensor network, algoritham.

Graphical Abstract
[1]
Diaz A, Gonzalez-Bayon J, Samchez P. Security estimation in wireless sensor network simulator. J Circuits Syst Comput 2016; 25(7)1650067
[2]
Biagioni J, Gerlich T, Merrifield T, Eriksson J. Easytracker: Automatic transit tracking, mapping, and arrival time prediction using smartphones. In: 9th Int Conf Embedded Netw Sensor Syst New York. USA 2011; pp. 68-81.
[3]
Tolle G, Polastre J, Szewczyk R, et al. A macroscope in the redwoods. In: Proc 3rd Int Conf n Embedded Netw Sensor Syst. 2005 Nov 2; pp. 51-63.
[4]
Shokrollahi A, Mazloom-Nezhad Maybodi B. An energy-efficient clustering algorithm using fuzzy C-means and genetic fuzzy system for wireless sensor network. J Circuits Syst Comput 2017; 26(01)1750004
[5]
Singh R, Verma AK. Energy efficient cross layer based adaptive threshold routing protocol for WSN. Int J Electr Commun 2017; 72: 166-73.
[6]
Lu YM, Wong VWS. An energy-efficient multipath routing protocol for wireless sensor networks. Int J Commun Syst 2007; 20(7): 747-66.
[7]
Akkaya K, Younis M. A survey on routing protocols for wireless sensor networks. Ad Hoc Netw 2005; 3: 325-49.
[8]
Intanagonwiwat C, Govindan R, Estrin D. Directed diffusion: a scalable and robust communication paradigm for sensor networks. In: Proc 6th Annual Int Conf Mobile Comput Netw. 2000 Aug 1; pp. 56-67.
[9]
Yu Y, Govindan R, Estrin D. Geographical and energy aware routing: a recursive data dissemination protocol for wireless sensor networks. 2001; p. 463.
[10]
Yang T, Xiaoping W. Accurate location estimation of sensor node using received signal strength measurements. Int J Electr Commun 2015; 69: 765-70.
[11]
Heinzelman WR, Chandrakasan A, Balakrishnan H. Energy-efficient communication protocol for wireless microsensor networks. In: Proc of the 33rd Annual Hawaii Int Conf Syst Sci. 2000 Jan 7; p. 10.
[12]
Chen CH, Lin MY, Lin WH. Designing and implementing a lightweight WSN mac protocol for smart home networking applications. J Circuits Syst Comput 2017; 26(3): 3.
[13]
Amgoth T, Jana PK. Energy-aware routing algorithm for wireless sensor networks. Comput Electr Eng 2015; 41: 357-67.
[14]
Esmaeili H, Bidgoli BM. Emrp: evolutionary-based multi-hop routing protocol for wireless body area networks AEU - Int J Electr Commun 2018; 93: 63-74.
[15]
Jothiprakasam S, Muthial C. A method to enhance lifetime in data aggregation for multi-hop wireless sensor networks AEU - Int J Electr Commun 2018; 85: 183-91.
[16]
Natarajan H, Nagpal SK, Selvaraj S. Impact of rate of recurrent communication of sensor node on network lifetime in a wireless sensor network. IET Sci Measur Technol 2017; 11(4): 473-9.
[17]
Nayak P, Devulapalli A. A fuzzy logic-based clustering algorithm for WSN to extend the network lifetime. IEEE Sens J 2016; 16(1): 137-44.
[18]
Nayyar A, Gupta A. A comprehensive review of cluster-based energy efficient routing protocols in wireless sensor networks. Int J Appl Innovat Eng Manag 2014; 3(1): 104-10.
[19]
Jia JG, He ZW, Kuang JM, Mu YH. An energy consumption balanced clustering algorithm for wireless sensor network. In: 6th Int Conf Wireless Commun Netw Mobile Comput Chengdu. China. 2010.
[20]
Kang SH, Nguyen T. Distance based thresholds for cluster head selection in wireless sensor networks. IEEE Commun Lett 2012; 16: 1396-9.
[21]
Razaque A, Abdulgader M, Joshi C, Amsaad F, Chauhan M. Pleach: energy efficient routing protocol for wireless sensor networks. In 2016 IEEE Long Island Syst, Appli Tech Conf (LISAT) 2016; pp. 1-5.
[22]
Lindsey S, Raghavendra CS. Pegasis: power-efficient gathering in sensor information systems. In: Proc IEEE Aerospace Conf. 2002; 3: 3.
[23]
Loscri V, Morabito G, Marano S. A two-levels hierarchy for lowenergy 510 adaptive clustering hierarchy (tl-leach). In IEEE Vehicular Tech Conf 2005; 62(3), 1809.
[24]
Razaque A, Abdulgader M, Joshi C, Amsaad F, Chauhan M. Pleach: energy efficient routing protocol for wireless sensor networks. In 2016 IEEE Long Island Syst, Appli Tech Conf (LISAT) 2016 Apr 29, pp. 1-5.
[25]
Shen J, Wang A, Wang C, Hung PCK, Lai CF. An efficient centroid- based routing protocol for energy management in wWSNassisted IoT. IEEE Access 2017; 5: 18469-79.
[26]
Jia D, Zhu H, Zou S, Hu P. Dynamic cluster head selection method for wireless sensor network. IEEE Sens J 2016; 16(8): 2746-54.
[27]
Mohemed RE, Saleh AI, Abdelrazzak M, Samra AS. Energy-efficient routing protocols for solving energy hole problem in wire-less sensor networks Comp Netw 2017; pp. 114: 51-66.
[28]
Yi D, Yang H. Heer- a delay-aware and energy efficient routing protocol for wireless sensor networks. Comput Netw 2016; 104: 155-73.
[29]
Attea B, Khalil EA. A new evolutionary based routing protocol for clustered heterogeneous wireless sensor networks. Appl Soft Comput 2012; 12: 1950-7.
[30]
Rappaport TS. Wireless communications: principles and practice. 2nd ed. Prentice Hall 2002.
[31]
Nayyar A, Le DN, Nguyen NG, Eds. Advances in swarm intelligence for optimizing problems in computer science. CRC Press 2018.
[32]
Nayyar A, Singh R. Ant Colony Optimization (ACO) based routing protocols for Wireless Sensor Networks (WSN): a survey. Int J Adv Comput Sci Appl 2017; 8: 148-55.
[33]
Nayyar A, Puri V, Suseendran G. Artificial bee colony optimization-population-based meta-heuristic swarm intelligence technique. InData Manag. Anal Innovat Springer: Singapore 2019; pp. 513-25.
[34]
Karaboga D, Basturk B. A powerful and efficient algorithm for numerical function optimization: Artificial bee colony (abc) algorithm. J Glob Optim 2007; 39: 459-71.
[35]
Nayyar A, Singh R. A comprehensive review of simulation tools for Wireless Sensor Networks (WSNs). J Wireless Netw Commun 2015; 5(1): 19-47.

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