全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

Hybrid Energy-Efficient Transmission Protocol for Heterogeneous Wireless Sensor Networks

DOI: 10.4236/cs.2016.76077, PP. 897-906

Keywords: Heterogeneous WSN, Border Cluster, FND, PNA

Full-Text   Cite this paper   Add to My Lib

Abstract:

Heterogeneous Wireless Sensor Networks (WSNs) have different sensing ranges and computing power in the midst of various resource constraints such as limited battery power, reduced transmit power and network potential. This paper proposes new hybrid energy efficient transmission protocol called Hybrid Transmission Protocol (HTP). The proposed algorithm focuses on the issues of throughput dreadful conditions and limited power on mobile nodes due to conflicts in multi-cell wireless networks. The design principle of the proposed routing algorithm is to introduce a new border cluster between the sink nodes and the cluster-heads in order to lengthen the lifetime of the network nodes with minimized energy consumption to attain energy efficiency. The creation of clusters is done by making use of the sensor nodes formation that has a Cluster-Head (CH) used for performing the data aggregation in the sensor nodes of the cluster. Later the data that is aggregated is transmitted with multiple hops to the base station and in turn, this process leads to the reduction in the bandwidth through the elimination of the redundant data present in a cluster. The performance results indicate that the HTP proposed gained greater network lifetime, better performance and higher throughput compared to the other available algorithms.

References

[1]  Villas, L., Boukerche, A., Ramos, H.S., et al. (2013) DRINA: A Lightweight and Reliable Routing Approach for In- Network Aggregation in Wireless Sensor Networks. IEEE Transactions on Computers, 62, 676-689.
http://dx.doi.org/10.1109/TC.2012.31
[2]  Rashed, Md.G., Kabir, M.H. and Ullah, S.E. (2011) WEP: An Energy Efficient Protocol for Cluster Based Heterogeneous Wireless Sensor Network. International Journal of Distributed and Parallel Systems (IJDPS), 2, 54-60.
http://dx.doi.org/10.5121/ijdps.2011.2205
[3]  Saini, P. and Sharma, A.K. (2010) Energy Efficient Scheme for Clustering Protocol Prolonging the Lifetime of Heterogeneous Wireless Sensor Networks. International Journal of Computer Applications, 6, 30-36.
[4]  Kumar, D., Aseri, T.C. and Patel, R.B. (2010) Distributed Cluster Head Election (DCHE) Scheme for Improving Lifetime of Heterogeneous Sensor Networks. Tamkang Journal of Science and Engineering, 13, 337-348.
[5]  Demers, A. (1989) Analysis and Simulation of a Fair Queuing Algorithm. In ACM SIGCOMM Computer Communication Review, 19, 1-12.
http://dx.doi.org/10.1145/75247.75248
[6]  Waharte, S., Xiao, J. and Boutaba, R. (2004) Overlay Wireless Sensor Networks for Application-Adaptive Scheduling in WLAN. In: Mammeri, Z. and Lorenz, P., Eds., High Speed Networks and Multimedia Communications, Springer, Berlin Heidelberg, 676-684.
http://dx.doi.org/10.1007/978-3-540-25969-5_61
[7]  Hohlt, B., Doherty, L. and Brewer, E. (2004) Flexible Power Scheduling for sensor Networks. Proceedings of the 3rd International Symposium on Information Processing in Sensor Networks, Berkeley, 26-27 April 2004 205-214.
http://dx.doi.org/10.1145/984622.984653
[8]  Jun, J., Peddabachagari, P. and Sichitiu, M. (2003) Theoretical Maximum Throughput of IEEE 802.11 and Its Applications. IEEE International Symposium on Network Computing and Applications, Cambridge, 18 April 2003, 249-256.
[9]  Heusse, M., Rousseau, F., Berger-Sabbatel, G. and Duda, A. (2003) Performance Anomaly of 802.11b. 22nd Annual Joint Conferences of the IEEE Computer and Communications, San Francisco, 30 March- 3 April 2003, 836-843.
[10]  Choi, S., Park, K. and Kim, C. (2005) On the Performance Characteristics of WLANs: Revisited. ACM SIGMETRICS Performance Evaluation Review, 33, 97-108.
http://dx.doi.org/10.1145/1071690.1064225
[11]  Vasan, A. and Shankar, A.U. (2002) An Empirical Characterization of Instantaneous Throughput in 802.11b WLANs. Technical Report, Department of Computer Science, University of Maryland, College Park.
[12]  Wu, X.C. and Ananda, A.L. (2004) Link Characteristics Estimation for IEEE 802.11 DCF Based LAN. In 29th Annual IEEE International Conference on Local Computer Networks, Tampa, 16-18 November 2004, 302-309.
http://dx.doi.org/10.1109/LCN.2004.73
[13]  Wu, X.C. (2004) Simulate 802.11b Channel within ns2. Technical Report, School of Computing, National University of Singapore, Singapore.
[14]  Cidon, I. and Sidi, M. (1989) Distributed Assignment Algorithms for Multihop Packet Radio Networks. IEEE Transactions on Computers, 38, 1353-1361.
http://dx.doi.org/10.1109/12.35830
[15]  Elbatt, T. and Ephremides, A. (2004) Joint Scheduling and Power Control for Wireless Ad Hoc Networks. IEEE Tran- sactions on Wireless communications, 3, 74-85.
http://dx.doi.org/10.1109/TWC.2003.819032
[16]  Kumar, D., Patel, R.B. and Aseri, T.C. (2009) EEHC: Energy Efficient Heterogeneous Clustered Scheme for Wireless Sensor Network. Computer Communications, 32, 662-667.
http://dx.doi.org/10.1016/j.comcom.2008.11.025
[17]  Pal, V., Singh, G. and Yadav, R.P. (2012) SCHS: Smart Cluster Head Selection Scheme for Clustering Algorithms in Wireless Sensor Networks. Wireless Sensor Network, 4, 273-280.
[18]  Sujee, R. and Kannammal, K.E. (2015) Behavior of LEACH protocol in Heterogeneous and Homogeneous Environment. International Conference on Computer Communication and Informatics (ICCCI), Coimbatore, 8-10 January 2015, 1-8.
http://dx.doi.org/10.1109/ICCCI.2015.7218126
[19]  Snow, J., Feng, W. and Feng, W. (2005) Implementing a Low Power TDMA Protocol over 802.11. IEEE Wireless Communications and Networking Conference, Vol. 1, 75-80.
http://dx.doi.org/10.1109/wcnc.2005.1424479
[20]  Jamieson, K. (2002) Implementation of a Power-Saving Protocol for Ad Hoc Wireless networks. Master’s Thesis, Massachusetts Institute of Technology, Cambridge.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133