A Hybrid Routing Protocol for Robust Wireless Sensor Networks

Researchers have faced numerous challenges while designing WSNs and protocols in numerous applications. Amongst all sustaining connectivity and capitalizing on the network lifetime is a serious deliberation. To tackle these two problems, the authors have considered Mobile Wireless Sensor Networks (MWSNs). In this paper, the authors put forward an Evolutionary Mobility aware multi-objective hybrid Routing Protocol for heterogeneous wireless sensor networks (EMRP). EMRP selects the optimal path from source node to sink by means of various metrics such as Average Energy consumption, Control Overhead, Reaction Time, LQI, and HOP Count. The Performance of EMRP when equated with Simple Hybrid Routing Protocol (SHRP) and Dynamic Multi-Objective Routing Algorithm (DyMORA) using parameters such as Average Residual Energy (ARE), Delay and Normalized Routing Load. EMRP improves AES by a factor of 4.93% as related to SHRP and 5.15% as related to DyMORA. EMRP has a 6% lesser delay as compared with DyMORA.

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REHR: Residual Energy based Hybrid Routing Protocol for Wireless Sensor Networks

2019 IEEE Conference on Information and Communication Technology ◽

10.1109/cict48419.2019.9066144 ◽

2019 ◽

Cited By ~ 1

Author(s):

Akhilesh Panchal ◽

Rajat Kumar Singh

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Routing Protocol ◽

Residual Energy ◽

Wireless Sensor ◽

Hybrid Routing ◽

Hybrid Routing Protocol

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Dynamic multi-objective routing algorithm: a multi-objective routing algorithm for the simple hybrid routing protocol on wireless sensor networks

IET Communications ◽

10.1049/iet-com.2009.0805 ◽

2010 ◽

Vol 4 (14) ◽

pp. 1732 ◽

Cited By ~ 14

Author(s):

G. Valentini ◽

C.J.B. Abbas ◽

L.J.G. Villalba ◽

L. Astorga

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Routing Protocol ◽

Routing Algorithm ◽

Wireless Sensor ◽

Hybrid Routing ◽

Multi Objective ◽

Hybrid Routing Protocol

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Secure Multi-objective hybrid routing protocol for wireless sensor network

Recent Patents on Engineering ◽

10.2174/1872212115666210114155738 ◽

2021 ◽

Vol 15 ◽

Author(s):

Ruchi Kaushik ◽

Vijander Singh ◽

Rajani Kumari

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Routing Protocol ◽

Secure Routing ◽

Ant Colony ◽

Wireless Sensor ◽

Energy Aware ◽

Data Packets ◽

Hybrid Routing ◽

Hybrid Routing Protocol

Background: Wireless sensor networks play a significant role in network technologies. It is difficult to determine an optimal route that satisfies the requirements of wireless sensor networks. Energy-aware and trust-aware routing protocols play a critical role in the security of wireless sensor networks. In SRPMA (secure routing protocol based on multiobjective ant colony) routing protocol have very limited parameters and functions as well as ant colony algorithm is specifically finding the roots in which convergence limited Objective: This paper proposed an improved multi-objective trust-energy aware hybrid routing protocol using hybrid grey wolf genetic algorithm (I-MTERP-GWOGA) to achieve a quality of service by optimizing network security and reducing energy consumption in wireless sensor networks. Methods: Energy-aware function calculated by the radio energy dissipation model to ensure the nodes involves in the route is capable of transmitting the data packets successfully or not. The load function is directly impacting the delay of the transmission of data packets. Results: I-MTERP-GWOGA algorithm shows better simulation results than secure routing protocol based on multiobjective ant-colony (SRPMA) and improved ant colony optimization based security routing protocol (IASR) algorithms using matlab2019a. Conclusion: The proposed algorithm improves performance against malicious nodes using five network performance criteria; packet delivery ratio, packet loss rate, average energy consumption, and end to end delay.

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