A modified distance-based energy-aware (mDBEA) routing protocol in wireless sensor networks (WSNs)

Abdulai, Jamal-Deen; Adu-Manu, Kofi Sarpong; Katsriku, Ferdinand Apietu; Engmann, Felicia

doi:10.1007/s12652-021-03683-y

Cited by 15 publications

(5 citation statements)

References 25 publications

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“…The terms of 𝑔 0 and 𝑢 express the drift factors of the min-max function are represented in Eq. (6).…”

Section: Iterative Process Of Ch Selectionmentioning

confidence: 99%

TCRP: Trust-aware Clustering and Routing Protocol Based on Atom Search Optimization for WSNs

2023

IJIES

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Wireless sensor network (WSN) is one of the fast-growing technology which can be implemented in largescale applications due to their low-cost installation setup. But, the poor structural organization of the nodes present in WSN leads to various types of security threats and affects the overall performance. The ultimate goal of this paper is to provide a secured transmission of data with minimal consumption of energy. Here, a trust-aware clustering and routing protocol based on atom search optimization (TCRP) is proposed to select secured cluster heads (CHs) for largescale WSNs and ensure the data's freshness. In addition, the secured path for routing is created with node authentication, where the fitness parameter for a node is defined in terms of distance, trust, and energy. The proposed secured clustering and routing protocol based on Atom Search Optimization (ASO) provides resistance against malicious nodes on the selected routing path, with minimum energy consumption, the proposed TCRP identify an optimal path and it ensures the data integrity and confidentiality of the network. The proposed TCRP protocol is analyzed in terms of energy consumption, throughput, and packet delivery ratio. The proposed TCRP achieved better network throughput of 99% for 80 nodes which are comparatively higher than the existing services aware energy-efficient routing protocol (SQEER) with 98% and probabilistic fuzzy chain set, An authentication-based routing protocol, And a hybrid clustering algorithm PFCD-ARP-CH with (98.5%), trust-aware and energy-efficient data gathering (TEDG) with (97%) and multiobjective-trust centric reptile search algorithm with (96.25%).

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“…The terms of 𝑔 0 and 𝑢 express the drift factors of the min-max function are represented in Eq. (6).…”

Section: Iterative Process Of Ch Selectionmentioning

confidence: 99%

TCRP: Trust-aware Clustering and Routing Protocol Based on Atom Search Optimization for WSNs

2023

IJIES

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“… Modified distance measures techniques There are certain methods that proposed to change calculations of distance between nodes for minimizing the energy uses and thus in turn improve the network lifetime. Abdulai et al 139 proposed a modified shortest distance determination between nodes for improving the EE of the WSN. Normally, the Euclidian distance is used for measuring the distance between nodes and Chourey and Khan 140 has proposed a modified absolute distance measure for increasing the speed and minimizing energy uses for energy aware routing protocols.…”

Section: Open Issues and Challengesmentioning

confidence: 99%

Survey on energy efficient dynamic sink optimum routing for wireless sensor network and communication technologies

Gupta

Singh

2022

Int J Communication

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Wireless sensor network (WSN) is frequently being used for increasing the data collection and monitoring critical parameters. Major challenge in WSN design is achieving the better energy efficiency and latency considering the dynamic sink location. Lots of research has been done for improving the performance of WSN systems in wide range of applications. Prime goal of this paper is to evaluate the performance of WSN routing under the grid-based dynamic sink locations. Later the performance of various existing critical protocols is compared to route data over centralized server. Various applications of WSNs are tabulated along with the sensor utilization. The paper contributed in three passes. Initial contribution of this research is to identify the issues and limitations of present WSN communication technologies. The paper contributed to present a case study to discover the implications of dynamic sink routing for building protocol to extend network's lifetime. The effectiveness of several clustering-based WSN routing algorithms is first compared in this paper. After that, the protocol with the longest network life is put to the test under a grid-based dynamic sink routing scenario. The significance of clustering-based protocols for improving lifetime of the network is evaluated as case study. The clustering-based energy efficient protocol like low energy adaptive clustering hierarchy (LEACH) and its different variants, PEGASIS, SEP, DEC, their variants, and so on, are compared in this paper. Various performance metrics like network delays, throughput, latency, energy consumption and network lifetime are defined for studying routing protocols. Significance of dynamic sink locations performance is evaluated for Enhanced Distributed Energy Efficient Clustering (EDEEC) protocol. Overall paper covers and reviewed many critical design aspects for WSN networks.

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“…The mobility of sink and network nodes highlighted more critical issues for researchers. In a recent article, a modified distance-predicated energy-cognizant (mDBEA) multi-hop routing protocol is suggested in [ 26 ]. This protocol is designed for mobile sinks and nodes and implemented in rivers with the concept of mobile ad hoc networks (MANET).…”

Section: Related Workmentioning

confidence: 99%

Hybrid Clustering and Routing Algorithm with Threshold-Based Data Collection for Heterogeneous Wireless Sensor Networks

Bilal

Munir

Alarfaj

2022

Sensors

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The concept of the internet of things (IoT) motivates us to connect bulk isolated heterogeneous devices to automate report generation without human interaction. Energy-efficient routing algorithms help to prolong the network lifetime of these energy-restricted smart devices that are connected by means of wireless sensor networks (WSNs). Current vendor-level advancements enable algorithm-level flexibility to design protocols to concurrently collect multiple application data while enforcing the reduction of energy expenditure to gain commercial success in the industrial stage. In this paper, we propose a hybrid clustering and routing algorithm with threshold-based data collection for heterogeneous wireless sensor networks. In our proposed model, homogeneous and heterogeneous nodes are deployed within specific regions. To reduce unnecessary data transmission, threshold-based conditions are presented to prevent unnecessary transmission when minor or no change is observed in the simulated and real-world applications. We further extend our proposed multi-hop model to achieve more network stability in dense and larger network areas. Our proposed model shows enhancement in terms of load balancing and end-to-end delay as compared to the other threshold-based energy-efficient routing protocols, such as the threshold-sensitive stable election protocol (TSEP), threshold distributed energy-efficient clustering (TDEEC), low-energy adaptive clustering hierarchy (LEACH), and energy-efficient sensor network (TEEN).

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A modified distance-based energy-aware (mDBEA) routing protocol in wireless sensor networks (WSNs)

Cited by 15 publications

References 25 publications

TCRP: Trust-aware Clustering and Routing Protocol Based on Atom Search Optimization for WSNs

TCRP: Trust-aware Clustering and Routing Protocol Based on Atom Search Optimization for WSNs

Survey on energy efficient dynamic sink optimum routing for wireless sensor network and communication technologies

Hybrid Clustering and Routing Algorithm with Threshold-Based Data Collection for Heterogeneous Wireless Sensor Networks

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