Minimum energy transmission forest‐based geocast in software‐defined wireless sensor networks

Wireless Sensor Networks (WSNs)‐based geographic addressing and routing have many potential applications. Geocast protocols should be made energy efficient to increase the lifetime of nodes and packet delivery ratio. This technique will increase the number of live nodes, reduce message costs, and enhance network throughput. All geocast protocols in the literature of WSN apply mostly restricted flooding and perimeter flooding, which is why still the redundancy they produce significantly high message transmission costs and unnecessarily eats up immense energy of the nodes. Moreover, perimeter flooding cannot succeed in the presence of holes. The present article models WSN with software‐defined (SD) constructs where the network area is divided into some zones. Energy‐efficient transmission tree(s) are constructed in the geocast area to organize the flow of data packets and their links. Therefore, redundancy in the transmission is eliminated while maintaining network throughput as good as regular flooding. Besides, this study introduces a fuzzy controllers named SELECT‐STARTER and GEOCAST‐PROPAGATOR for intellgent energy tansmission control‐making. The proposed technique significantly reduces energy cost and improves nodes' lifetime to function for higher time duration and produce a higher data packet delivery ratio. To the best of the author's knowledge, this is the first work on geocast in SD‐WSNs.

[1]  Harichandran Khanna Nehemiah,et al.  An Energy Efficient Clustered Gravitational and Fuzzy Based Routing Algorithm in WSNs , 2020, Wirel. Pers. Commun..

[2]  Anuradha Banerjee,et al.  Smart-Green-Mult (SGM): overhear from topological kingpins in software defined wireless sensor networks , 2020, J. Ambient Intell. Humaniz. Comput..

[3]  Utku Kose,et al.  Fuzzy genetic based dynamic spectrum allocation approach for cognitive radio sensor networks , 2020, Turkish J. Electr. Eng. Comput. Sci..

[4]  Reza Malekian,et al.  Adaptable QoS provisioning for efficient traffic-to-resource control in software defined wireless sensor networks , 2020, J. Ambient Intell. Humaniz. Comput..

[5]  M. Vijayalakshmi,et al.  An improved congestion-aware routing mechanism in sensor networks using fuzzy rule sets , 2019, Peer-to-Peer Networking and Applications.

[6]  Bharat Bhushan,et al.  ISFC-BLS (Intelligent and Secured Fuzzy Clustering Algorithm Using Balanced Load Sub-Cluster Formation) in WSN Environment , 2020, Wirel. Pers. Commun..

[7]  Bharat Bhushan,et al.  Innovative approach to Wireless Sensor Networks: SD-WSN , 2019, 2019 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS).

[8]  Basit Raza,et al.  Energy efficient and reliable data gathering using internet of software-defined mobile sinks for WSNs-based smart grid applications , 2019, Comput. Stand. Interfaces.

[9]  Bharat Bhushan,et al.  $$E^{2} SR^{2}$$E2SR2: An acknowledgement-based mobile sink routing protocol with rechargeable sensors for wireless sensor networks , 2019, Wirel. Networks.

[10]  Ali Ghiasian,et al.  Energy-efficient operation of a network of OpenFlow switches featuring hardware acceleration and frequency scaling , 2019, Trans. Emerg. Telecommun. Technol..

[11]  Arputharaj Kannan,et al.  An Energy Aware Trust Based Secure Routing Algorithm for Effective Communication in Wireless Sensor Networks , 2019, Wireless Personal Communications.

[12]  Gerhard P. Hancke,et al.  Efficient controller placement and reelection mechanism in distributed control system for software defined wireless sensor networks , 2019, Trans. Emerg. Telecommun. Technol..

[13]  Sannasi Ganapathy,et al.  Energy aware cluster and neuro-fuzzy based routing algorithm for wireless sensor networks in IoT , 2019, Comput. Networks.

[14]  Ahmed Jawad Kadhim,et al.  Energy-efficient multicast routing protocol based on SDN and fog computing for vehicular networks , 2019, Ad Hoc Networks.

[15]  Bin Yu,et al.  LCD: Light‐weight control model for data plane in software‐defined wireless sensor networks , 2019, Trans. Emerg. Telecommun. Technol..

[16]  Bharat Bhushan,et al.  Routing Protocols in Wireless Sensor Networks , 2019 .

[17]  S. K. Sathya Lakshmi Preeth,et al.  An adaptive fuzzy rule based energy efficient clustering and immune-inspired routing protocol for WSN-assisted IoT system , 2018, Journal of Ambient Intelligence and Humanized Computing.

[18]  G. R. Kanagachidambaresan,et al.  An energy-aware buffer management (EABM) routing protocol for WSN , 2018, The Journal of Supercomputing.

[19]  Naser Movahhedinia,et al.  On reliability improvement of Software-Defined Networks , 2018, Comput. Networks.

[20]  Uma Maheswari,et al.  A Survey on Recent Techniques for Energy Efficient Routing in WSN , 2018 .

[21]  Bharat Bhushan,et al.  Recent Advances in Attacks, Technical Challenges, Vulnerabilities and Their Countermeasures in Wireless Sensor Networks , 2018, Wirel. Pers. Commun..

[22]  Lin Yang,et al.  A methodology for reliability of WSN based on software defined network in adaptive industrial environment , 2018, IEEE/CAA Journal of Automatica Sinica.

[23]  C. Valliyammai,et al.  Link Failure Recovery Using Shortest Path Fast Rerouting Technique in SDN , 2017 .

[24]  P. Velvizhy,et al.  A rule based delay constrained energy efficient routing technique for wireless sensor networks , 2017, Cluster Computing.

[25]  Xi Jin,et al.  A Hierarchical Data Transmission Framework for Industrial Wireless Sensor and Actuator Networks , 2017, IEEE Transactions on Industrial Informatics.

[26]  Nadeem Javaid,et al.  A Balanced Energy Consuming and Hole Alleviating Algorithm for Wireless Sensor Networks , 2017, 2017 31st International Conference on Advanced Information Networking and Applications Workshops (WAINA).

[27]  Juan Antonio Guerrero Ibáñez,et al.  GeoSoc: A Geocast-based Communication Protocol for Monitoring of Marine Environments , 2017 .

[28]  Juan Ivan Nieto Hipolito,et al.  GeoSoc: A Geocast-based Communication Protocol for Monitoring of Marine Environments , 2017, IEEE Latin America Transactions.

[29]  Najib El Kamoun,et al.  Geographic Routing in Wireless Sensor Networks based on a Partitioned Architecture , 2016 .

[30]  Ali Ghaffari,et al.  Software defined networks: A survey , 2016, J. Netw. Comput. Appl..

[31]  Mohit Sharma,et al.  Location based protocols in Wireless Sensor Network — A review , 2014, Fifth International Conference on Computing, Communications and Networking Technologies (ICCCNT).

[32]  Sabino Giarnetti,et al.  A New Acquisition and Imaging System for Environmental Measurements: An Experience on the Italian Cultural Heritage , 2014, Sensors.

[33]  F. Leccese,et al.  Remote-Control System of High Efficiency and Intelligent Street Lighting Using a ZigBee Network of Devices and Sensors , 2013, IEEE Transactions on Power Delivery.

[34]  L. Javier García-Villalba,et al.  Routing Protocols in Wireless Sensor Networks , 2009, Sensors.

[35]  Kihyun Kim,et al.  A Location Based Energy Efficient Intersection Routing Protocol in Mobile Sensor Networks , 2008, 2008 International Conference on MultiMedia and Information Technology.

[36]  Muhammad Younas Javed,et al.  EAGR: Energy Aware Greedy Routing in Sensor Networks , 2007, Future Generation Communication and Networking (FGCN 2007).

[37]  Alfred O. Hero,et al.  Distributed weighted-multidimensional scaling for node localization in sensor networks , 2006, TOSN.

[38]  Ahmed Helmy,et al.  Efficient and robust geocasting protocols for sensor networks , 2005, Comput. Commun..

[39]  Randolph L. Moses,et al.  Outlier compensation in sensor network self-localization via the EM algorithm , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

[40]  Ossama Younis,et al.  HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks , 2004, IEEE Transactions on Mobile Computing.

[41]  Mark Coates,et al.  Distributed particle filters for sensor networks , 2004, Third International Symposium on Information Processing in Sensor Networks, 2004. IPSN 2004.

[42]  Neal Patwari,et al.  Distributed Multidimensional Scaling with Adaptive Weighting for Node Localization in Sensor Networks , 2004 .

[43]  Lee C. Potter,et al.  Sensor Network Localization via Received Signal Strength Measurements with Directional Antennas , 2004 .

[44]  Ahmed Helmy,et al.  Geographic Protocols in Sensor Networks , 2004 .

[45]  Ian F. Akyildiz,et al.  Wireless sensor networks: a survey , 2002, Comput. Networks.

[46]  Deborah Estrin,et al.  Geographical and Energy Aware Routing: a recursive data dissemination protocol for wireless sensor networks , 2002 .

[47]  Joseph Y. Halpern,et al.  Minimum-energy mobile wireless networks revisited , 2001, ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240).

[48]  L. El Ghaoui,et al.  Convex position estimation in wireless sensor networks , 2001, Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213).

[49]  Volkan Cevher,et al.  Sensor array calibration via tracking with the extended Kalman filter , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

[50]  Deborah Estrin,et al.  GPS-less low-cost outdoor localization for very small devices , 2000, IEEE Wirel. Commun..

[51]  Brad Karp,et al.  GPSR: greedy perimeter stateless routing for wireless networks , 2000, MobiCom '00.