Abstract
A collection of small sensor nodes capable of sensing, processing and transmitting data Wireless related to some physical phenomenon is called wireless sensor networks (WSNs). Some severe constraints of sensor nodes are low network bandwidth, short wireless communication range, limited CPU processing capacity, memory storage and energy. The efficient bandwidth utilization and increased lifetime of wireless sensors network are essential for the proliferation of wireless sensor network for various applications. Many research papers have reported to maximize network lifetime, in which wireless link bandwidth has been optimistically assumed to be sufficient. In this paper, we describe the necessary conditions for the use of bandwidth that makes a routing solution feasible, and then link bandwidth estimation and applied ant colony optimization technique to optimize energy. First Part of the paper, Described the performance of the energy aware routing protocol without optimization technique to calculate the energy utilization for the sensor network area and estimate bandwidth. Second part of the paper, an ant colony optimization (ACO) has been applied to optimize energy consumption and compute optimized path bandwidth. Bit error rate has been analyzed to verify network performance. Result shows that energy aware routing protocols with ACO provides more feasible routing solutions and provide significant improvement on the lifetime of the sensor network.
Similar content being viewed by others
References
Akkaya K, Younis M (2003) A survey on routing protocols for wireless sensor networks. Elsevier Ad Hoc Netw J 3(3):325–349
Alaya I, solnon C, ghedira K (2007) Ant colony optimization for multi-objective optimization problem. ICTAI & Proceeding of the 19th IEEE conference on tools with artificial intelligence, 1:450–457
Al-Karaki JN, Kamal AE (2004) Routing techniques in wireless sensor networks: a survey. IEEE Wirel. Commun 11:6–28
Bonabeau E, Dorigo M (1999) Swarm Intelligence. In natural to artificial systems. Oxford University Press, London, pp 1–278
Chen B, Jamieson K, Balakrishnan H, Morris R (2002) Span: an energy-efficient coordination algorithm for topology maintenance in Ad hoc wireless networks. Wirel Netw 8:481–494
Cheng M, Gong X, Cai L (2008) Link rate allocation under bandwidth and energy constraint in sensor networks. In: Proceeding, IEEE GLOBECOM
Cho S, Kim K-E (2005) Variable bandwidth allocation scheme for energy efficient wireless sensor networks. ICC 5:3314–3318
Dorigo M, Stutzle T (2003) The ant colony optimization metaheuristic: Algorithms, applications, and advances. Handbook of metaheuristics, pp 250–285
Daniel santana gómez D, Aguirre-hernández IA, Rodríguez-guarneros YL, javier eduardo gonzález villarruel (2006) PSK digtial modulation DSP implmentation applied to software radio. In: Proceedings of the Electronic, Robotics and Automotive Mechanics Conference (CERMA’06) IEEE Computer Society
Heinzelman W, Chandrakasan A, Balakrishnan H (2000) Energy-efficient Communication Protocolfor Wireless Microsensor Networks. In: Proceedings of the 33rd Annual Hawaii International Conference on System Sciences, pp 1–10
Hussain S, Islam O (2008) Genetic algorithm for energy efficient trees in wireless sensor networks. Advanced intelligent environments. Springer, Boston, p 1
Intanagonwiwat C, Govindan R, Estrin D (2000) Directed diffusion: a scalable and robust communication paradigm for sensor networks. In: Proceedings of MobiCom ‘00
Iyengar S, Wu H-C, Balakrishnan N, Chang SY (2007) Biologically inspired cooperative routing for wireless mobile sensor networks. IEEE Syst J 1:29–37
Jung-Yoon Kim, Tripti Sharma, Brijesh Kumar, GS Tomar, Karan Berry, Won-Hyung Lee (2014) Intercluster ant colony optimization algorithm for wireless sensor network in dense environment. Int J Distrib Sens Netw
Kamat P, Zhang Y, Trappe W, Ozturk C (2005) Enhancing source-location privacy in sensor network routing. In: Proceedings of the 25th IEEE International Conference on Distributed Computing Systems (ICDCS05), pp 599–608
Kim H, Abdelzaher T, won WK (2003) Minimum-energy asynchronous dissemination to mobile sinks in wireless sensor network. Sens Sys
Liao WH, Kao Y, Fan CM (2007) An ant colony algorithm for data aggregation in wireless sensor networks. In: International Conference on Sensor Technologies and Applications, pp 101–106
Liao W-H, Kao Y, Wu R-T (2011) Ant colony optimization based sensor deployment protocol for wireless sensor networks. Expert Syst Appl 38:6599–6605
Mainwaring A, Culler D, Polastre J, Szewczyk R, Anderson J (2002) Wireless sensor network for habitat monitoring. In proceedings of the first ACM international workshop on wireless sensor network and application (WSNA-02)
Manjeshwar A, Agrawal DP (2001) TEEN: a routing protocol for enhanced efficiency in wireless sensor networks. In: Proceedings of the IEEE International Parallel Distributed Processing Symposium
Manjeshwar A, Agrawal DP (2002) APTEEN: a hybrid protocol for efficient routing and comprehensive information retrieval in wireless sensor networks, In: Proceedings of the IEEE International Parallel Distributed Processing Symposium
Mohammand I, Imad M (2005) Handbook of sensor network. CRC Press, London, pp 117–140
Niannian D, Liu PX, Chao H (2005) Data gathering communication in wireless sensor networks using ant colony optimization. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, pp 697–702
Ribeiro Alejandro, Georgios B Giannakis (2006) Bandwidth- constrained distributed estimation for wireless sensor network- part 1 Gaussian case. IEEE Trans Signal Process 54(3):1131–1143
Ruiz LB, Loureiro AAF, Nogueira JM (2003) Functionl and information models for MANNA architecture. In colloquia francophone sur la gestation de reseaux rt de services, 455–470
SAM W, HO (2004) Adaptive Modulation (QPSK, QAM). Intel in Communication, Intel Corporation, copyright
Sambaraju R, Piqueras MA, Polo V, Corral JL, Martí J (2007) Generation of multi-gigabit per second MQAM/MPSK-modulated millimeter wave carriers employing photonic vector modulator techniques. J Light Wave Tech 25(11):3350–3357
Sanchez Juan A, Ruiz Pedro M, Liu Jennifer, Stojmenovic Ivan (2007) Bandwidth-efficient geographic multicast routing protocol for wireless sensor networks. IEEE Sens J 7(5):627–636
Sheng Su, Haijie Yu, Zhenghua Wu (2013) An efficient multi-objective evolutionary algorithm for energy-aware QoS routing in wireless sensor network. Int J Sens Netw 13(4):208–218
Sun JZ (2001) Mobile Ad Hoc networking an essential technology for pervasive computing. In: International Conference on Info-Tech and Info-Net, pp 316–321
Tang J, Xue G, Zhang W (2006) Maximum throughput and fair bandwidth allocation in multi-channel wireless mesh networks, INFOCOM: 1–10
Wang Jin, kim Jeong-uk, Shu Lei, Niu Yu, Lee Sungyoung (2010) A distance –based energy aware routing algorithm for wireless sensor network. Sensors 10:9493–9511
White T, Pagurek B (1998) Toward multi-swarm problem solving in networks. In: International Conference on Multi Agent Systems, pp 333–340
Xu W, Hao X, Zhang P (2012) OFDM Simulation study for Wireless sensor network. Waste recycling and environment advances in biomedical engineering, vol 7
Zeng Z, Zeng Y (2007) An efficient scheme for solving bandwidth guaranteed scheduling and shortest path routing problem in wireless mesh networks. IJCSNS Int J Comput Sci Netw Secur 7(12):18–26
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Arya, R., Sharma, S.C. Energy optimization of energy aware routing protocol and bandwidth assessment for wireless sensor network. Int J Syst Assur Eng Manag 9, 612–619 (2018). https://doi.org/10.1007/s13198-014-0289-3
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s13198-014-0289-3