Energy Harvesting Based Efficient Routing Scheme for Wireless Sensor Network

Wireless Sensor Network were deployed in a complex environment where the wide range of complex application is mandatory for the services. Such application includes military, agriculture, healthcare, defense, monitoring, surveillance etc. In general sensor nodes were spatially distributed and deployed in remote fashion, usually they are powered up by batteries. These battery powered sensor nodes are pruned to failure due to its power constrained nature. This led many researchers to explore energy efficient context aware routing for Wireless Sensor Networks. Hence a novel energy harvesting based efficient routing scheme is desirable to address the above stated problem. The key idea is to harvest the energy source from the deployed environment. The proposed routing scheme is tested and validated in MATLAB based simulation test bed. The experimental results shows that the proposed routing scheme is robust and meet all the requirements of routing and promising results for energy usage.

[1]  Swati V. Sankpal,et al.  Energy aware routing using energy efficient routing protocol in wireless Ad hoc network , 2016, 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT).

[2]  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).

[3]  Liang Xue Data Aggregation Protocols for Wireless Sensor Networks Based on ACO , 2015, 2015 International Conference on Intelligent Transportation, Big Data and Smart City.

[4]  G. R. Kanagachidambaresan,et al.  Markovian Model based Trustworthy Architecture , 2012 .

[5]  Ramjee Prasad,et al.  A Novel Sensor Node Deployment using Low Discrepancy Sequences for WSN , 2018, Wirel. Pers. Commun..

[6]  Majid Sarrafzadeh,et al.  Pedometers Without Batteries: An Energy Harvesting Shoe , 2016, IEEE Sensors Journal.

[7]  V. R. Sarma Dhulipala,et al.  Lack of Power Avoidance: A Fault Classification Based Fault Tolerant Framework Solution for Lifetime Enhancement and Reliable Communication in Wireless Sensor Networks , 2012 .

[8]  Liqun Hou,et al.  A preliminary study of thermal energy harvesting for industrial wireless sensor networks , 2016, 2016 10th International Conference on Sensing Technology (ICST).

[9]  Mohit Angurala,et al.  A comparative study between leach and pegasis — A review , 2016, 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom).

[10]  Naresh Kumar,et al.  Energy efficient hybrid routing protocol for underwater acoustic sensor network , 2016, 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT).

[11]  Ramjee Prasad,et al.  Random Mobility and Heterogeneity-Aware Hybrid Synchronization for Wireless Sensor Network , 2018, Wirel. Pers. Commun..

[12]  Pierre Kuonen,et al.  Probabilistic Data Aggregation Protocol Based on ACO-GA Hybrid Approach in Wireless Sensor Networks , 2015, 2015 8th IFIP Wireless and Mobile Networking Conference (WMNC).

[13]  P. Sasikumar,et al.  K-Means Clustering in Wireless Sensor Networks , 2012, 2012 Fourth International Conference on Computational Intelligence and Communication Networks.

[14]  A. Chitra,et al.  TA-FSFT Thermal Aware Fail Safe Fault Tolerant algorithm for Wireless Body Sensor Network , 2016, Wirel. Pers. Commun..

[15]  Nadeem Javaid,et al.  Enhanced Energy Efficient Depth Based Routing Protocol for Underwater WSNs , 2016, 2016 10th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS).

[16]  Günes Karabulut-Kurt,et al.  Energy Harvesting From Multiple RF Sources in Wireless Fading Channels , 2016, IEEE Transactions on Vehicular Technology.

[17]  Ajay Kumar,et al.  Energy efficient routing in Wireless Sensor Networks: A survey , 2016, 2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET).

[18]  Alagan Anpalagan,et al.  Energy Harvesting From the Human Body for Biomedical Applications , 2016, IEEE Potentials.

[19]  G. R. Kanagachidambaresan,et al.  Modified energy minimization scheme using queue threshold based on priority queueing model , 2017, Cluster Computing.

[20]  P. Divya,et al.  Comparison of GSTEB, HEED and PEGASIS protocols , 2016, 2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET).

[21]  Ramjee Prasad,et al.  Q-MOHRA: QoS Assured Multi-objective Hybrid Routing Algorithm for Heterogeneous WSN , 2018, Wirel. Pers. Commun..

[22]  A. Chitra,et al.  Fail Safe Fault Tolerant Mechanism for Wireless Body Sensor Network (WBSN) , 2015, Wirel. Pers. Commun..

[23]  Marina Ruggieri,et al.  Editorial: Special Issue on “Future Wireless Ecosystems (FWE)” , 2018, Wirel. Pers. Commun..

[24]  Ramjee Prasad,et al.  GHMAC: Green and Hybrid Medium Access Control for Wireless Sensor Networks , 2017, Wirel. Pers. Commun..

[25]  Tao Jiang,et al.  Optimal Estimation in Wireless Sensor Networks With Energy Harvesting , 2016, IEEE Transactions on Vehicular Technology.

[26]  A. Chitra,et al.  Battery Recovery Based Lifetime Enhancement (BRLE) Algorithm for Wireless Sensor Network , 2017, Wirel. Pers. Commun..

[27]  G. R. Kanagachidambaresan,et al.  Matlab Based Modelling of Body Sensor Network Using ZigBee Protocol , 2011 .

[28]  Miroslav Voznak,et al.  Imperfect channel state information of AF and DF energy harvesting cooperative networks , 2016, China Communications.

[29]  G. R. Kanagachidambaresan,et al.  Performance analysis of cluster based homogeneous sensor network using energy efficient N-policy (EENP) model , 2018, Cluster Computing.