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Journal of Electronic Systems
 

Efficient Energy, Cost Reduction, and QoS based Routing Protocol for Wireless Sensor Networks
Ghassan Samara
Internet Technology Department, Zarqa University, Jordan
Abstract: Recent developments and widespread in wireless sensor network have led to many routing protocols, many of these protocols consider the efficiency of energy as the ultimate factor to maximize the WSN lifetime. The quality of Service (QoS) requirements for different applications of wireless sensor networks has posed additional challenges. Imaging and data transmission needs both QoS aware routing and energy to ensure the efficient use of sensors. In this paper, we propose an Efficient, Energy-Aware, Least Cost, (ECQSR) quality of service routing protocol for sensor networks which can run efficiently with best-effort traffic processing. The protocol aims to maximize the lifetime of the network out of balancing energy consumption across multiple nodes, by using the concept of service differentiation, finding lower cost by finding the shortest path using nearest neighbor algorithm (NN), also put certain constraints on the delay of the path for real-time data from where link cost that captures energy nodes reserve, energy of the transmission, error rate and other parameters. The results show that the proposed protocol improves the network lifetime and low power consumption.
Keywords: Service Differentiation, Nearest-Neighbors Search (KNN), Simulated Annealing (SA), Multipath Routing, Energy Efficiency, Cost Reduction, Quality of Service, Wireless Sensor Networks Efficient Energy, Cost Reduction, and QoS based Routing Protocol for Wireless Sensor Networks
DOI:https://doi.org/10.6025/jes/2019/9/3/77-85
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References:
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[7] José-F. Martinez, Ana-B. Garcia, Ivan Corredor, Lourdes Lopez, VicenteHernandez, Antonio Dasilva, Trade-Off Between Performance and Energy Consumption Wireless Sensor Networks, Lecture Notes in Computer Science (LNCS),4725/2007, Springer-Verlag, Berlin, Heidelberg, 2007, p. 264271, ISBN:978-3-540-74916-5.
[8] Martirosyan, Anahit., Boukerche, Azzedine., Werner, Richard., Pazzi, Nelem. (2008). Energy-aware and quality of servicebased routing in wireless sensor networks and vehicular ad hoc networks, Annales des Telecommunications, 63 (11-12) 669681.
[9] Iqbal, Muhammad., Naeem, Muhammad., Anpalagan, Alagan., Ahmed, Ashfaq., Azam, Muhammad. (2015). Wireless Sensor Network Optimization: Multi-Objective Paradigm, Sensors 2015, 20 July 2015,15, 17572 - 17620; doi:10.3390/s150717572.
[10] Liu,W., Qin, G., Li, S., He, J., Zhang, X. (2015). A Multiobjective Evolutionary Algorithm for Energy-Efficient Cooperative Spectrum Sensing in Cognitive Radio Sensor Network. International Journal of Distributed Sensor Networks, volume 2015, Article ID 581589.
[11] Suprotim Sinha Majumdar, Marut Pattanaik., Alamelu, J. V. (2015). Energy Efficient Wireless Sensor Network For Polyhouse Monitoring. European Journal of Advances in Engineering and Technology, 2015, 2(6) 77-82.


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