Joint trust: an approach for trust-aware routing in WSN
- PDF / 3,208,529 Bytes
- 16 Pages / 595.276 x 790.866 pts Page_size
- 32 Downloads / 271 Views
(0123456789().,-volV)(0123456789().,-volV)
Joint trust: an approach for trust-aware routing in WSN Paul Rodrigues1 • Jacob John2
Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract The province of wireless sensor networks (WSNs) is continuously increasing due to widespread applications, like, military, monitoring environmental conditions, and several other domains. However, trust management in the WSN is a major challenge as trust is used when cooperation between nodes becomes critical to attaining reliable communication. Therefore, a new trust-based routing algorithm is proposed for initiating secured routing. Additionally, the paper proposes ChickenDragonfly (CHicDra) optimization algorithm for assisting secure communication by finding the optimal cluster heads (CHs) in the network. Once the CHs are selected with Multi-Objective Taylor Crow Optimization, the trusted nodes are optimally finalized using the Joint Trust that depends on the trust parameters, like integrity factor, consistency factors, forwarding rate factor, and availability factors. The proposed CHicDra is the modification of the chicken swam optimization with dragonfly algorithm. Finally, the optimally chosen path is employed for further communications in the network, which is secure and trustworthy. The proposed CHicDra computes maximal packet delivery ratio (PDR) of 44%, throughput of 52.8%, and minimal delay of 0.344, respectively. Keywords Trust-aware routing Optimization Cluster head selection Multi-objectives Wireless sensor network
1 Introduction WSN has become a significant technology in the field of ubiquitous living and stays to be active research in many applications. WSN is considered as a infrastructure-less network, which contains inexpensive sensor nodes for monitoring the WSN network. Sensor nodes in the WSN are allocated randomly. WSN is important in managing surveillance applications, which includes precision agriculture, environmental monitoring, smart cities, weather forecasting, disaster management, and natural disaster prevention. WSN are utilized for observing different physical parameters, like moisture level, vibrations,
& Jacob John [email protected] Paul Rodrigues [email protected] 1
Department of Computer Engineering, College of Computer Science, King Khalid University, Abha, Saudi Arabia
2
Department of Computer Engineering, Pillai HOC College of Engineering and Technology, Rasayani, Raigad, Maharashtra, India
pressure, acoustics, and temperature. The sensor nodes contained in the WSN is composed of microcontroller, power supply, sensors, and communication unit. The sensor unit examines the environment, gathers the data and then practices the data and, finally, transmits to other sensor nodes through a communication medium. However, the sensor nodes pose issues in bandwidth, computation, energy, and memory. Furthermore, there exist limitations in WSN, which involve synchronization, scheduling, connectivity, security, localization problems and coverage issues [1]. While a
Data Loading...
