Fuzzy Power Allocation for Opportunistic Relay in Energy Harvesting Wireless Sensor Networks

Compared with line powered wireless sensor nodes, power allocation, and rate adaption in energy harvesting (EH) nodes are challenging problems, due to the intermittent nature of the energy arrival process and data causality constraints. To address this problem, in this paper we propose an online fuzzy logic-based power allocation (FPA) scheme for a cooperative and delay constraint EH wireless sensor network (EHWSN) using opportunistic relaying. An EHWSN model is developed with finite energy and data buffer constraints at the relay node. The performance of FPA scheme is evaluated in terms of throughput, fairness, delay, transmission time, and energy consumption. The performance of FPA is also compared with one offline policy and two online policies. It is observed that the delay and the energy consumption of FPA scheme for a given throughput are very close to the offline power allocation policy. The results show that for a given EH profile tradeoff exists between data buffer capacity and throughput for a given payload in all the schemes. In addition, the opportunistic behavior of relay can be controlled by increasing buffer size, however, that may compromise the throughput beyond a certain buffer size. Furthermore, the performance of FPA scheme is also evaluated under Uniform, Rayleigh and Beta distributed energy arrivals.

[1]  Danilo Pelusi,et al.  Intelligent Algorithms for Trading the Euro-Dollar in the Foreign Exchange Market , 2014 .

[2]  Aylin Yener,et al.  Two-hop networks with energy harvesting: The (non-)impact of buffer size , 2013, 2013 IEEE Global Conference on Signal and Information Processing.

[3]  Lassaâd Sbita,et al.  Extending the network lifetime of wireless sensor networks using fuzzy logic , 2015, 2015 IEEE 12th International Multi-Conference on Systems, Signals & Devices (SSD15).

[4]  Said Ben Alla,et al.  Gateway and Cluster Head Election using Fuzzy Logic in heterogeneous wireless sensor networks , 2012, 2012 International Conference on Multimedia Computing and Systems.

[5]  Med Lassaad Kaddachi,et al.  Energy-Efficient Multi-hop Hierarchical Routing Protocol using Fuzzy Logic (EMHR-FL) for Wireless Sensor Networks , 2014, 2014 World Congress on Computer Applications and Information Systems (WCCAIS).

[6]  Shuguang Cui,et al.  Throughput Maximization for the Gaussian Relay Channel with Energy Harvesting Constraints , 2011, IEEE Journal on Selected Areas in Communications.

[7]  Khaled Ben Letaief,et al.  Optimal Scheduling and Power Allocation for Two-Hop Energy Harvesting Communication Systems , 2012, IEEE Transactions on Wireless Communications.

[8]  Raviraj S. Adve,et al.  Energy Harvesting Cooperative Communication Systems , 2014, IEEE Transactions on Wireless Communications.

[9]  Deniz Gündüz,et al.  Two-hop communication with energy harvesting , 2011, 2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

[10]  Young-Long Chen,et al.  Adaptive fuzzy-based rate management and power control in multimedia CDMA cellular systems , 2008, Comput. Commun..

[11]  Danilo Pelusi.  PID and intelligent controllers for optimal timing performances of industrial actuators , 2012 .

[12]  Elza Erkip,et al.  Energy harvesting two-hop networks: Optimal policies for the multi-energy arrival case , 2012, 2012 35th IEEE Sarnoff Symposium.

[13]  Abolfazl Razi,et al.  Throughput optimization in relay networks using Markovian game theory , 2011, 2011 IEEE Wireless Communications and Networking Conference.

[14]  Xiaojun Shen,et al.  Discrete Rate Scheduling for Packets With Individual Deadlines in Energy Harvesting Systems , 2015, IEEE Journal on Selected Areas in Communications.

[15]  Ehsan Ahvar,et al.  Improving Decision-Making for Fuzzy Logic-Based Routing in Wireless Sensor Networks , 2013, 2013 IEEE 10th International Conference on Ubiquitous Intelligence and Computing and 2013 IEEE 10th International Conference on Autonomic and Trusted Computing.

[16]  Rakesh Kumar,et al.  A novel cluster head selection scheme using fuzzy logic in wireless sensor networks , 2015, 2015 International Conference on Green Computing and Internet of Things (ICGCIoT).

[17]  Biplab Sikdar,et al.  A MAC Protocol for Cooperative MIMO Transmissions in Sensor Networks , 2007, IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference.

[18]  Jing Yang,et al.  Optimal Packet Scheduling in an Energy Harvesting Communication System , 2010, IEEE Transactions on Communications.

[19]  Leslie Pack Kaelbling,et al.  On the Complexity of Solving Markov Decision Problems , 1995, UAI.

[20]  Ashutosh Kumar Singh,et al.  Minimization of Energy Consumption of Wireless Sensor Networks Using Fuzzy Logic , 2011, 2011 International Conference on Computational Intelligence and Communication Networks.

[21]  Danilo Pelusi,et al.  Optimal control Algorithms for second order Systems , 2013, J. Comput. Sci..

[22]  Anurag Agarwal,et al.  The Internet of Things—A survey of topics and trends , 2014, Information Systems Frontiers.

[23]  Seyyed Javad Mirabedini,et al.  A new method for flat routing in wireless sensor networks using fuzzy logic , 2011, Proceedings of 2011 International Conference on Computer Science and Network Technology.

[24]  Salman A. Khan,et al.  Fuzzy logic based multi-criteria decision-making using Dubois and Prade's operator for distributed denial of service attacks in wireless sensor networks , 2014, 2014 5th International Conference on Information and Communication Systems (ICICS).

[25]  Danilo Pelusi.  Designing neural networks to improve timing performances of intelligent controllers , 2013 .

[26]  Imre J. Rudas,et al.  Operator Dependent Variations of the Mamdani-Type Inference System Model to Reduce the Computational Needs in Real-Time Evaluation , 2014 .

[27]  Emad Alsusa,et al.  Power allocation, relay selection and energy cooperation strategies in energy harvesting cooperative wireless networks , 2016, Wirel. Commun. Mob. Comput..

[28]  Danilo Pelusi,et al.  Fuzzy algorithm control effectiveness on drum boiler simulated dynamics , 2013, 2013 36th International Conference on Telecommunications and Signal Processing (TSP).

[29]  Luis Alonso,et al.  Information Exchange in Randomly Deployed Dense WSNs With Wireless Energy Harvesting Capabilities , 2016, IEEE Transactions on Wireless Communications.

[30]  Elza Erkip,et al.  Optimal transmission policies for energy harvesting two-hop networks , 2012, 2012 46th Annual Conference on Information Sciences and Systems (CISS).

[31]  Saman K. Halgamuge,et al.  Energy Adaptive Sensor Scheduling for Noisy Sensor Measurements , 2009, DCOSS.

[32]  Elza Erkip,et al.  Throughput maximization for energy harvesting two-hop networks , 2013, 2013 IEEE International Symposium on Information Theory.