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Barani, S.
- Energy Aware Next Hop and Route Selection with Improved Throughput (ENT) for Wireless Sensor Network
Abstract Views :144 |
PDF Views:3
Authors
S. Barani
1,
C. Gomathy
1
Affiliations
1 Sathyabama University, Chennai, IN
1 Sathyabama University, Chennai, IN
Source
Networking and Communication Engineering, Vol 3, No 5 (2011), Pagination: 332-338Abstract
The wireless sensor network is deployed where human intervention is highly risky. It transmits the sensory data to a remote location where the processing and control of data takes place. The system is advantageous in many ways. But the limitation in battery power reduces the lifetime of the network. The life time of the network can be increased by framing an energy efficient protocol at different layers of the network. In network layer the routing protocol plays a vital role. Various routing protocols proposed for the system consider only the static condition of the nodes. The proposed protocol Energy aware Next hop and Route selection with improved Throughput for wireless sensor network (ENT) proposes a system with two phases, where the former focuses on neighbor node selection and latter focuses on route establishment based on fuzzy logic. The proposed system also considers the mobility of nodes. Simulation results show that this method has been very effective in increasing of remaining energy and network lifetime.Keywords
Fuzzy Logic Systems, Residual Energy, Queue Size, Distance, Hop Count.
- An Exhaustive Survey on Nature Inspired Metaheuristic Algorithms for Energy Optimization in Wireless Sensor Network
Abstract Views :197 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Science and Engineering, Sathyabama University, IN
2 Department of Electronics and Control Engineering, Sathyabama University, IN
3 Department of Computer Engineering, KJ College of Engineering and Management Research, IN
4 Dr. D.Y. Patil School of Engineering, IN
1 Department of Computer Science and Engineering, Sathyabama University, IN
2 Department of Electronics and Control Engineering, Sathyabama University, IN
3 Department of Computer Engineering, KJ College of Engineering and Management Research, IN
4 Dr. D.Y. Patil School of Engineering, IN
Source
ICTACT Journal on Communication Technology, Vol 6, No 4 (2015), Pagination: 1173-1181Abstract
Todays engineering research is highly motivated towards the nature inspired metaheuristic computational algorithm as they have the capability to give better results as compared to the conventional methods. Wireless Sensor Networks(WSNs) have become increasingly popular due to their extensive array of applications. Desing of energy efficient routing algorithms is an important issue in the designing of WSNs applications as the lifetime of the sensor node is based on the limited battery powered devices. Therefore to maximize the lifetime of sensor node a comprehensive survey of energy efficient routing algorithms based on natural science have been addressed in this paper. The paper will take the readers into the detailed survey of existing energy optimized routing algorithms considering the natural science (metaheuristic) as the base and considering parameters related to energy efficiency as the core objective. The final part of the paper discusses the limitations of various algorithms that has been addressed in this paper and suggestions to overcome them.Keywords
Nature Inspired Computing, WSN, Energy Optimization, Optimized Routing, Metaheuristics.- Survey on Data Reduction Techniques for Energy Conservation for Prolonging Life of Wireless Sensor Network
Abstract Views :239 |
PDF Views:2
Authors
Affiliations
1 Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, IN
2 Department of Electrical and Communication Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu
3 Department of Information Technology, Government College of Engineering, Vidya Nagar, Karad, Dist. Satara, Maharashtra, IN
4 Department of Electronics and Telecommunication Engineering, Dr. D. Y. Patil Knowledge City, Charholi (Bk), Via. Lohegaon, Pune- 412 105, Maharashtra, IN
1 Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, IN
2 Department of Electrical and Communication Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu
3 Department of Information Technology, Government College of Engineering, Vidya Nagar, Karad, Dist. Satara, Maharashtra, IN
4 Department of Electronics and Telecommunication Engineering, Dr. D. Y. Patil Knowledge City, Charholi (Bk), Via. Lohegaon, Pune- 412 105, Maharashtra, IN
Source
Wireless Communication, Vol 10, No 2 (2018), Pagination: 17-25Abstract
Now a days, in every research, focus has been given to energy conservation and that is very essential for Wireless Sensor Network too. In the WSN energy need to be utilized properly to prolong the life of the network. The major energy consumed in wireless sensor network will be for transmission of data from source to destination. We need to focus on reduction of such data which is going to transmit from source to destination, which will reduce the energy and that will prolong the life of WSN. In this paper, survey of such research papers has been done which will help to minimize energy consumption. Many research papers are referred and some of the important and related papers are used for the survey. The focus of all the papers is on energy minimization through data mining techniques like data reduction, data compression and data prediction etc.. This survey proves that data mining is one the important techniques which will reduce data transmission and minimizes the energy consumption.Keywords
Data Reduction, Data Prediction, Data Compression, Energy Conservation, Prolonging Life of the Network.References
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- Pramod D. Ganjewar, Sanjeev J. Wagh and Barani S., “Threshold Based Data Reduction Technique (TBDRT) For Minimization of Energy Consumption in WSN”, Pg. No. 619 – 623, IEEE International Conference on Energy Systems and Applications (ICESA-2015), Organized by Department of Electrical Engineering, Dr. D. Y. Patil Vidya Pratishthan Society’s Dr. D. Y. Patil Institute of Engineering and Technology, Pimpri, Pune – 411018, Maharashtra, India, in association with Institute of Electrical and Electronics Engineers (IEEE), Pune Section, held from 30th October 2015 to 1st November 2015. ISBN Proceeding : 978-1-4673-6817-9/15/$31.00 ©2015 IEEE.
- Pramod Ganjewar, Barani S., S. J. Wagh, “Threshold Based Data Reduction for Prolonging Life of Wireless Sensor Network”, International Journal on AdHoc Networking Systems (IJANS), Vol. 7, No. 1/2/3, Pg. No. 01 – 08, DOI - 10.5121/ijans.2017.7301, ISSN : 2249 – 0175 [Online], 2249 – 2682 [Print].
- Pramod D. Ganjewar, Barani S., Sanjeev J. Wagh, “Data Reduction using Incremental Naïve Bayes Prediction (INBP) in WSN”, IEEE International Conference on Information Processing (ICIP) 2015, Organized by Department of Electronics Engineering, Vishwakarma Institute of Technology, Bibwewadi, Pune, Pune – 411037, Maharashtra, India, in association with Institute of Electrical and Electronics Engineers (IEEE), Pune Section, held from 16th To 19th December 2015. ISBN Proceeding: 978-1-4673-7758-4/15$31.00 ©2015 IEEE.
- Pramod D. Ganjewar, Barani S., Sanjeev J. Wagh, “Energy Efficient Deflate (EEDeflate) Compression For Energy Conservation in Wireless Sensor Network”, Springer International Publishing Ag 2016, Intelligent Systems Technologies and Applications 2016 (ISTA 2016), Advances in Intelligent Systems and Computing 530, DOI – 10.1007/978-3-319-47952-1_22.
- Pramod Ganjewar, Barani S., S. J. Wagh, “HFBLMS : Hierarchical Fractional Bidirectional Least –Mean - Square Prediction Method for Data Reduction in Wireless Sensor Network”, International Journal of Modeling, Simulation and Scientific Computing, Nov. 2017, ISSN : 1793 - 9623, 1793 - 9615.
- Barani, S.,Gomathy, C. Impact of radio propagation model for Fuzzy Based Energy Aware Dynamic Path Route (FEADR) 2011 International Conference on Emerging Trends in Electrical and Computer Technology, ICETECT 2011 23-24 March 2011.
- DAS, S.,BARANI, S.,WAGH, S.,SONAVANE, S.S. Extending lifetime of wireless sensor networks using multi-sensor data fusion Sadhana - Academy Proceedings in Engineering Sciences Article in Press.
- Das, S.,Barani, S.,Wagh, S.,Sonavane, S.S. Energy efficient and trustable routing protocol for Wireless Sensor Networks based on Genetic Algorithm (E2TRP) International Conference on Automatic Control and Dynamic Optimization Techniques, ICACDOT 2016.
- Durbhaka, G.K.,Barani, S. Fault behaviour pattern analysis and recognition Proceedings - 2016 International Conference on Information Science, ICIS 2016.
- Paranjape, S.,Barani, S.,Sutaone, M.,Mukherji, P. Intra and inter cluster congestion control technique for mobile wireless sensor networks Conference on Advances in Signal Processing, CASP 2016 9-11 June 2016.
- Das, S.,Barani, S.,Wagh, S.,Sonavane, S.S. Energy aware routing based on multi-sensor data fusion for wireless sensor networks Communications in Computer and Information Science.
- Shanmugavel, B.,Roslin, E.,Chidambaram, G. Humidity measurement using an efficient topology control and energy aware routing for wireless sensor network Asian Journal of Scientific Research 2014 7 (4) 601-608.