Multi-Constrained QoS Opportunistic Routing by Optimal Power Tuning in Low Duty-Cycle WSNs
- 1 Department of Computer Technology, MIT Campus, Anna University, Chennai, India
- 2 Department of Computer Science & Engineering, Jerusalem College of Engineering, Anna University, Chennai, India
- 3 Department of Computer Technology, MIT Campus, Anna University, Chennai, India
Abstract
Designing a multi-constrained QoS (Quality of service) communication protocol for mission-critical applications that seeks a path connecting source node and destination node that satisfies multiple QoS constrains such as energy cost, delay, and reliability imposes a great challenge in Wireless Sensor Networks (WSNs). In such challenging dynamic environment, traditional routing and layered infrastructure are inefficient and sometimes even infeasible. In recent research works, the opportunistic routing paradigm which delays the forwarding decision until reception of packets in forwarders by utilizing the broadcast nature of the wireless medium has been exploited to overcome the limitations of traditional routing. However, to guarantee the balance between the energy, delay and reliability requires the refinement of opportunistic routing through interaction between underlying layers known as cross-layer opportunistic routing. Indeed, these schemes fail to achieve optimal performance and hence require a new method to facilitate the adoption of the routing protocol to the dynamic challenging environments. In this paper, we propose a universal cross-layered opportunistic based communication protocol for WSNs for guaranteeing the user set constraints on multi-constrained QoS in low-duty-cycle WSN. Extensive simulation results show that the proposed work, Multi-Constrained QoS Opportunistic routing by optimal Power Tuning (MOR-PT) effectively achieves the feasible QoS trade-off constraints set by user by jointly considering the power control and selection diversity over established algorithms like DSF [1] and DTPC [2] .
- Gu, Y. and He, T. (2011) Dynamic Switching-Based Data Forwarding for Low-Duty-Cycle Wireless Sensor Networks. IEEE Transactions on Mobile Computing, 10, 1741-1754. http://dx.doi.org/10.1109/TMC.2010.266
- Fan, Z., Bai, S., Wang, S. and He, T. (2015) Delay-Bounded Transmission Power Control for Low-Duty-Cycle Sensor Networks. IEEE Transactions on Wireless Communications, 14, 3157-3170. http://dx.doi.org/10.1109/TWC.2015.2402681
- Chakchouk, N. (2015) A Survey on Opportunistic Routing in Wireless Communication Networks. IEEE Communications Surveys & Tutorials, 17, 2214-2241.
- Huang, P., Xiao, L., Soltani, S., Mutka, M.W. and Xi, N. (2013) The Evolution of MAC Protocols in Wireless Sensor Networks: A Survey. IEEE Communications Surveys & Tutorials, 15, 101-120.
- Al-Anbagi, I., Erol-Kantarci, M. and Mouftah, H.T. (2016) A Survey on Cross-Layer Quality-of-Service Approaches in WSNs for Delay and Reliability-Aware Applications. IEEE Communications Surveys & Tutorials, 18, 525-552.
- Yang, H.-B. and Cai, W.-Y. (2008) Distributed Power Control Algorithm with Multi-QoS Constraints for Wireless Sensor Networks. IEEE International Conference on Networking, Sensing and Control, ICNSC, Sanya, 1031-1036. http://dx.doi.org/10.1109/icnsc.2008.4525368
- Gao, W.D., Jiao, B.L., Yang, G.L., Hu, W. and Liu, J.W. (2014) Transmission Power Control for IEEE 802.15.6 Body Area Networks. ETRI Journal, 36, 313-316. http://dx.doi.org/10.4218/etrij.14.0213.0220
- Ikram, W., Petersen, S., Orten, P. and Thornhill, N.F. (2014) Adaptive Multi-Channel Transmission Power Control for Industrial Wireless Instrumentation. IEEE Transactions on Industrial Informatics, 10, 978-990. http://dx.doi.org/10.1109/TII.2014.2310594
- De Couto, D.S.J., Aguayo, D., Bicket, J. and Morris, R. (2003) A High-Throughput Path Metric for Multi-Hop Wireless Routing. Proceedings of the 9th Annual International Conference on Mobile Computing and Networking (MobiCom’03), New York, 134-146. http://dx.doi.org/10.1145/938985.939000
- Seada, K., Zuniga, M., Helmy, A. and Krishnamachari, B. (2004) Energy-Efficient Forwarding Strategies for Geographic Routing in Lossy Wireless Sensor Networks. ACM SenSys’04, Baltimore, 3-5 November 2004. http://dx.doi.org/10.1145/1031495.1031509
- Cheng, L., Niu, J., Gu, Y., He, T. and Zhang, Q. (2015) Energy-Efficient Statistical Delay Guarantee for Duty-Cycled Wireless Sensor Networks. 12th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), Seattle, 46-54.