Energy-Efficient Heterogeneous Optimization Routing Protocol for Wireless Sensor Network

Srilakshmi, Uppalapati

doi:10.18280/i2m.190510

Cited by 17 publications

(6 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Efficient routing [16][17][18][19][20][21][22][23][24][25]in MANETs ensures that the effectively transmitted the data from source to destination and decreases the info loss occurring throughout the transmission. Furthermore, to decrease the energy loss during transmission and boost the duration of this system, the paper presents the hybrid algorithm employing the CSO along with SSA algorithms.…”

Section: Iiithe Proposed Methods Of Efficient Routingmentioning

confidence: 99%

Trust Aware Secure Energy Efficient Hybrid Protocol for MANET

Veeraiah¹,

Khalaf

Prasad³

et al. 2021

IEEE Access

110

View full text Add to dashboard Cite

Mobile ad hoc network (MANETs) is infrastructure-less, self-organizing, fast deployable wireless network, so they truly are exceptionally appropriate for purposes between special outside occasions, communications in locations without a radio infrastructure, crises, and natural disasters, along with military surgeries. Security could be the primary weak spot in manet on account of this flexibility of structures and always changing dynamic topology, that will be very exposed to your selection of strikes like eavesdropping, routing, and alteration of programs. MANET is affected with security issues, surpassing Quality of services (QoS).So, intrusion tracking which modulates your system to recognize some other violation weakness would be that the top approach to guarantee security for MANET. Detecting intrusions has a critical part in supplying protections and functions as beyond layer of defenses against access. Power collapse of the cellular node maybe not merely alter the node alone but its capacity to forwards packets which is based on total system life. This also caused the institution of the routing protocol to its stable optimal choice of this multipath to increase the navigation MANETs. Provision of energy-efficient and secure routing is a challenge given the changing topology and restricted resources of this kind of network. To address the energy efficiency and security we suggest a trust-based secure energy efficient navigation in MANETs employing the hybrid algorithm, cat slap single-player algorithm (C-SSA), that selects the best jumps in advancing the routing. In the beginning, the fuzzy clustering is put on, and the cluster heads (CHs) are picked predicated maximum worth of indirect, direct, and recent trust. Predicated on trust threshold worth nodes additionally discovered. Even the CHs are participated from the multi hop routing, and the assortment of the best route relies upon the projected hybrid protocol, and that selects the best routes determined by the delay, throughput, along with connectivity within this course. The proposed method obtained a minimal energy of 0.11m joules, a negligible delay of 0.005 msec, a maximum throughput of 0.74 bps, a maximum packet delivery ratio of 0.99 percent, and a maximum detection rate of 90%. The proposed method compared with the existing techniques in the presence and absent of the selective packet dropping attack.INDEX TERMS MANET, Selective packet dropping attack, Energy efficiency, Cluster head, Trust values.

show abstract

Section: Iiithe Proposed Methods Of Efficient Routingmentioning

confidence: 99%

Trust Aware Secure Energy Efficient Hybrid Protocol for MANET

Veeraiah¹,

Khalaf

Prasad³

et al. 2021

IEEE Access

110

View full text Add to dashboard Cite

show abstract

“…Another heterogeneous fault-tolerant and energyefficient protocol to solve the hotspot problem is presented in [21]. This approach allowed better allocation of time transmission slots in the TDMA protocol using the PSO method and provided a longer network lifetime compared to other heterogeneous protocols such as CEEC and E-BEENISH.…”

Section: Related Workmentioning

confidence: 99%

Enhancing Heterogeneous Wireless Sensor Networks Using Swarm Intelligence –Based Routing Protocols

Nebti

Redjimi

2023

Int. j. electr. comput. eng. syst. (Online)

View full text Add to dashboard Cite

The design of efficient communication protocols for wireless sensor networks has aroused great interest in the research community, especially in the face of the limited energy of sensor nodes and the frequent change in network topology. Routing remains a challenging problem in wireless communications, as deploying or replacing sensor nodes in hazardous environments is difficult. Many studies have been devoted to alleviate certain limitations, such as clustering to maintain network connectivity, injecting heterogeneity to avoid the rapid death of nodes, or incorporating evolution-based optimization methods to find the best network configuration. This work combined heterogeneity and swarm-based optimization to efficiently balance energy consumption between nodes to increase network reliability. Specifically, this work employed the binary particle swarm optimizer and the binary artificial bees colony optimizer to find approximately the optimal set of cluster heads (CHs) with their optimal number. Based on the probabilistic principle of the heterogeneous protocols: SEP, EDEEC, and BEENISH, a new refined formulation of CHs selection using swarm optimization is proposed. The swarm flight is guided towards the best CHs with an objective function representing a good balance between the initial and residual energy of nodes. Compared to the standard heterogeneous protocols SEP, EDEEC, and BEENISH, the developed protocols significantly perform better in terms of stability (FND), the round of half nodes' death (HND), the network lifetime (LND), and energy saving. Indeed, the BABC-SEP was found 31,66% better than SEP in terms of remaining energy percentage, and CHs selection in EDEEC and BEENISH using BABC improved them by more than 20% in the percentage of remaining energy.

show abstract

“…Intelligent agriculture, which integrates information technology, sensing technology, and wireless communication technology, can achieve smart sensing, transmission, and analysis of the information in each link of agricultural planting. The numerous links, various plants, and diverse sensors involved in agricultural planting undermine the efficiency and reliability of data collection and storage [19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Application of Data Visualization and Big Data Analysis in Intelligent Agriculture

Liu

2022

CIT. J. comput. inf. technol

View full text Add to dashboard Cite

Intelligent agriculture can renovate agricultural production and management, making agricultural production truly scientific and efficient. The existing data mining technology for agricultural information is powerful and professional. But the technology is not well adapted for intelligent agriculture. Therefore, this paper introduces data visualization and big data analysis into the application scenarios of intelligent agriculture. Firstly, an intelligent agriculture data visualization system was established, and the RadViz data visualization method was detailed for intelligent agriculture. Moreover, the intelligent agriculture data were processed using dimensionality reduction through principal component analysis (PCA) and further optimized through k-means clustering (KMC). Finally, the crop yield was predicted using the multiple regression algorithm and the residual principal component regression algorithm. The crop yield prediction model was proved effective through experiments.

show abstract

Energy-Efficient Heterogeneous Optimization Routing Protocol for Wireless Sensor Network

Cited by 17 publications

References 25 publications

Trust Aware Secure Energy Efficient Hybrid Protocol for MANET

Trust Aware Secure Energy Efficient Hybrid Protocol for MANET

Enhancing Heterogeneous Wireless Sensor Networks Using Swarm Intelligence –Based Routing Protocols

Application of Data Visualization and Big Data Analysis in Intelligent Agriculture

Contact Info

Product

Resources

About