Login Register Cart 0
Generic placeholder image

International Journal of Sensors, Wireless Communications and Control

Editor-in-Chief

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

Back
Journal Home About Journal Editorial Board Journal Insight Current Issue Volumes/Issues
Subscribe
Research Article

QoS Aware Multi-hop Multi-path Routing Approach in Wireless Sensor Networks

Author(s): Omkar Singh* and Vinay Rishiwal

Volume 9, Issue 1, 2019

Page: [43 - 52] Pages: 10

DOI: 10.2174/2210327908666180703143435

Price: $65

Abstract

Background & Objective: Wireless Sensor Network (WSN) consist of huge number of tiny senor nodes. WSN collects environmental data and sends to the base station through multi-hop wireless communication. QoS is the salient aspect in wireless sensor networks that satisfies end-to-end QoS requirement on different parameters such as energy, network lifetime, packets delivery ratio and delay. Among them Energy consumption is the most important and challenging factor in WSN, since the senor nodes are made by battery reserved that tends towards life time of sensor networks.

Methods: In this work an Improve-Energy Aware Multi-hop Multi-path Hierarchy (I-EAMMH) QoS based routing approach has been proposed and evaluated that reduces energy consumption and delivers data packets within time by selecting optimum cost path among discovered routes which extends network life time.

Results & Conclusion: Simulation has been done in MATLAB on varying number of rounds 400- 2000 to checked the performance of proposed approach. I-EAMMH is compared with existing routing protocols namely EAMMH and LEACH and performs better in terms of end-to-end-delay, packet delivery ratio, as well as reduces the energy consumption 13%-19% and prolongs network lifetime 9%- 14%.

Keywords: Cost Function, EAMMH, Energy, I-EAMMH, LEACH, WSN.

« Previous Next »
Graphical Abstract

[1]
Jadhav P, Rachna SR. A survey on opportunistic routing protocols for wireless sensor networks, Elsevier. Procedia Comput Sci 2016; 79: 603-9.
[2]
Ez-zazi I, Arioua M, Qualkadi AE. On the design of coding framework for energy efficient and reliable multi-hop sensor networks, Elsevier. ANT 2017; 109: 537-44.
[3]
Uke S, Thool R. UML based modeling for data aggregation in secured wireless sensor network, Elsevier. ICISP 2016; 78: 706-13.
[4]
Kabaskin I, Kundler J. Reliability of sensor nodes in wireless sensor networks of cyber physical systems, Elsevier. ICTE 2017; 104: 380-4.
[5]
Anasane AA, Satao RA. A survey on various multipath routing protocols in wireless sensor networks, Elsevier. ICCCV 2016; 79: 610-5.
[6]
Saeed N, Murad M, Nawaz M, et al. Survey on single path and multipath energy efficient routing protocols for wireless sensor networks. J Comp Comm 2017; 5: 1-11.
[7]
Miquel LS, Vassileva NV, Barceló F, et al. Energy and delay constrained routing in mobile adhoc networks: an initial approach. ACM 2015; 13: 1-2.
[8]
Fu C, Jiang Z, Wei W, et al. An energy balanced algorithm of leach protocol in WSN. Int J Comput Sci 2013; 10(1): 354-9.
[9]
Monika CS, Yadav N. LEACH-I algorithm for WSN. IJIRCCE 2016; 4(3): 3459-66.
[10]
Mohanty P, Kabat MR. Energy efficient structure free data aggregation and delivery in WSN. Elsevier 2016; 17: 273-84.
[11]
Alkhdour T, Shakshuki E, Selim S, et al. An optimal energy efficient and minimum delay scheduling for periodic WSN applications. Elsevier EUSPN 2013; 21: 40-9.
[12]
Sheikh SM, Halima NB. Design implementation and testing of a cost function based scheduling mechanism for a water management system. Elsevier 2017; 110: 54-61.
[13]
Ghaffari A. An energy efficient routing protocol for wireless sensor networks using a-star algorithm. J Appl Res Technol 2014; 12: 815-22.
[14]
Liu A, Ren J, Li X, et al. Design principles and improvement of cost function based energy aware routing algorithms for wireless sensor networks. Elsevier 2012; 56: 1951-67.
[15]
Bof N, Todescato M, Carli R, et al. Robust distributed estimation for localization in lossy sensor networks. Elsevier IFAC 2016; 11: 250-5.
[16]
Assad N, Elbhiri FS, et al. Sum minimum cost link algorithm for wireless sensor networks. Sensor Comm 2013; pp. 132-8.
[17]
Mahakud R, Rath S, Samantary M, et al. Energy management in wireless sensor network using PEGASIS. Elsevier ICCC 2016; 92: 207-12.
[18]
Hayes T, Ali FH. Robust ad-hoc sensor routing (raser) protocol for mobile wireless sensor networks. Elsevier 2016; 50: 128-44.
[19]
Mahajan M, Reddy KTV, Rajput M. Design and simulation of a blacklisting technique for detection of hello flood attack on LEACH protocol. Elsevier 2016; 79: 675-82.
[20]
Dhand G, Tyagi SS. Data aggregation techniques in WSN: survey, Elsevier. ICCC 2016; 92: 378-84.
[21]
Saleh SS, Al-Awamry AA, Mahmoud FM. Energy efficient communication protocol for wireless sensor networks. IJERT 2015; 4(5): 1262-9.
[22]
Gupta V, Pandey R. An improved energy aware distributed unequal cluster protocol Elsevier 2016; 19(2): 1050-8.
[23]
Vishal K, Deshpande RA. Investigation on IMCP based clustering in LTE-M communication for smart metering applications Elsevier 2016; 20(3): 944-55.
[24]
Guermazi A, Abid M. An efficient key distribution scheme to secure data-centric routing protocols in hierarchical wireless sensor networks Elsevier 2012; 5: 208-15.
[25]
https://in.mathworks.com/academia/student_center/tutorials/mltutorial_launchpad.html

Rights & Permissions Print Cite
Article Metrics
25
2
1
© 2024 Bentham Science Publishers | Privacy Policy