An Innovative Prediction of Link Failure and Node Lifetime in Mobile Ad Hoc Networks Using Grey Wolf Optimization

Anil Kumar Bandani, Makam Venkata Subramanyam, Kodati Satya Prasad


The Path Restoration System in Mobile Ad hoc Network (MANET) was tough due to the changing environment. Data packets are lost if a link is broken while delivering information, and the system is vulnerable to various assaults. Considering this, we propose the Grey Wolf Optimization technique (GWO) to predict connection failure, link and node lifetime before broadcasting packets to avoid packet loss. To define the path, we used the Route Information Protocol (RIP). Following that, GWO is manually played; with this method, this research forecasts the node and lifetime, and achieves a packet delivery ratio of 0.7. The proposed Gray-Wolf algorithm achieves an efficient packet transmission rate and improves the early detection of links and node lifetimes to maintain path stability for data transmission. The proposed model reduces end-to-end delay, overhead, and packet drop. It improves the residual energy of nodes and the packet delivery ratio. Grey Wolf Optimization is one of many examining boosting methods activated by the grouping within the wolf family and the special hunting techniques used by grey wolves. As a result, the Grey Wolf optimization method was used to find the optimal result by mocking the overall characteristics of the grey wolf colony.


Keywords: mobile ad hoc network, Grey Wolf Optimization technique, route information protocol, node, lifetime, link failure, packet delivery ratio.

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SOFI I.B, and AKHIL G. A Survey on energy efficient 5G Green Networks with a Planned multi-tier architecture. Journal of Network and Computer Applications, 2018, 118: 1-28.

LU HAN. Wireless ad hoc networks. Encyclopedia of Wireless Networks. Computer Science, 2020,

SUAD A, ALYA A.A, and EINAS F.A. MANET Proactive and Reactive Routing Protocols. Journal of Discrete Mathematical sciences and Cryptography, 2021: 1-9,

HASHIM Y E, OSMAN A, and EL-GELANY A. Mobile Technology and Education: Theoretical Study. International Research Journal of Computer Science, 2016, 3(2): 16-27.

KUMAR S. Prediction of Node and Link Failures in Mobile Ad Hoc Network Using Hello Based Path Recovery Routing Protocol. Wireless Personal Communications, 2020, 115(4): 725-744.

RAJA R, and GANESH P.K. QoSTRP: A Trusted Clustering Based Routing Protocol for Mobile Ad-Hoc Networks. Programming and Computer Software, 2019, 44: 407-416.

KAVIDHA V, and ANANTHAKUMARAN S. Novel Energy-Efficient Secure Routing Protocol for Wireless Sensor Networks with mobile sink. Peer-to-Peer Networking and Applications, 2019, 12: 881-892.

SENTHIL K S. Minimizing Link failure in Mobile Ad hoc Networks through QoS Routing. Innovations in Computer Science and Engineering, 2018, 32: 241-247.

BAIDAA H K, ANBAR MD, SABRI M.H, and WAN T.C. Efficient Route Discovery and Link Failure Detection Mechanisms for Source Routing Protocol in Mobile Ad-Hoc Networks. IEEE Access, 2020, 8: 24019-24032.

RAJA KUMAR R, JAYAVEL A, DHAVACHELVAN P, and VENGATTARAMAN T. GWO-LPWSN: Grey Wolf Optimization Algorithm for Node Localization Problem in Wireless Sensor Networks. Journal of Computer Networks and Communications, 2017, 2: 1-10.

MUHAMMAD F, FARHAN A. et al. Grey wolf optimization based clustering algorithm for vehicular ad-hoc networks. Computer and Electrical Engineering, 2018, 70: 853-870.

CHRISTY J.M.A, DEVAPRIYA M, and JANAKIRAMAN S. A Hybrid Crow Search and Grey wolf optimization algorithm-based reliable Non-Line-of-sight Node Positioning Scheme for Vehicular Ad-Hoc Networks. International Journal of Communication Systems, 2020, 1-26.

DR-SULAIMAN A.M.G, and VASANTHI S. Energy Efficient Multi Path Routing using Multi-Objective Grey wolf optimizer based Dynamic Source routing algorithm for MANET. International Journal of Advance Science and Technology, 2020, 29(03): 6096-6117.

DURRESI, M, SUBASHI, A, DURRESI, A. et al. Secure communication architecture for the internet of things using smartphones and multi-access edge computing in environmental monitoring. Journal of Ambient Intelligence and Humanized Computing, 2018, 10(4): 1631–1640.

SUNIL K, and KAMLESH D. Trust Based Intrusion Detection Technique to Detect Selfish Nodes in Mobile Ad Hoc Networks. Wireless Personal Communications, 2018, 101(4): 2029-2052.

FARDIN F.S, and MOHAMMAD A. A New Method to Reduce Energy Consumption in MANET Network Routing based on OLSR Protocol and Genetic Algorithm. Journal of Advances in Computer Research, 2018, 9(3): 55-70.

KAUR M, DALE L, and PAVOL Z. Integrating Intrusion Response Functionality into the MANET Specific Dynamic Intrusion Detection Hierarchy Architecture. Ad Hoc Networks, 2018, 223: 69-80.

SHAFIGH, A.S, VEIGA, B.L. & GLISIC, S. Cross layer scheme for quality-of-service aware multicast routing in mobile ad hoc networks. Wireless Networks, 2018, 24(1): 329-343.

YAHIAOUI S, OMAR M, BOUABDALLAH A, NATALIZIO E, and CHALLAL Y. An energy efficient and QoS aware routing protocol for wireless sensor and actuator networks. AEU-International Journal of Electronics and Communications, 2018, 83: 193-203.

WANG Y, ZELONG Y, JUN H, and CHOI C. a Novel Energy-Efficient Neighbor Discovery Procedure in a Wireless Self-Organization Network. Information Sciences, 2018, 476: 429-438.

OSMAN M M A, SYED-YUSOF S K, ABD MALIK N N N, et al. A survey of clustering algorithms for cognitive radio ad hoc networks. Wireless Networks, 2018, 24(5): 1451-1475.

SRA P, and CHAND S. QoS in Mobile Ad-Hoc Networks. Wireless Personal Communications, 2019, 105: 1599-1616.

ANAND M, and SASIKALA T. Efficient Energy Optimization in Mobile Ad Hoc networks (MANET) using better-quality AODV Protocol. Cluster Computing, 2019, 22: 12681-12687.

PU C, LIM S, CHAE J, et al. Active detection in Mitigating routing misbehavior for MANETs. Wireless Networks, 2017, 25: 1669-1683.

ROBINSON Y H, BALAJI S, and GOLDEN J E. PSOBLAP: Particle Swarm Optimization-Based Bandwidth and Link Availability Prediction Algorithm for Multipath Routing in Mobile Ad Hoc Networks. Wireless Personal Communications, 2018, 106(4): 1-29.

MOHSIN A, & ZAINAL A, & ABU BAKAR K. Optimized Reliable Hybrid Routing Protocol Based Link Stability for Mobile Wireless Networks. Wireless Personal Communications, 2018,102: 473-493.

TAVIZI A, & GHAFFARI A. Tree-based reliable and energy-aware multicast routing protocol for mobile ad hoc networks. The Journal of Supercomputing, 2018, 74(11): 6310-6332.

PAL A, DUTTA P, CHAKRABARTI A, et al. Biogeographic-Based Temporal Prediction of Link Stability in Mobile Ad Hoc Networks. Wireless Personal Communications, 2019, 104: 217-233.

TALAWAR M B, and ASHOKA D V. Link Failure detection in MANET: A Survey. Book Chapter-Modern Approaches in Machine Learning and Cognitive Science, 2020: 169-182.


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