A Competent Ad-hoc Sensor Routing Protocol for Energy Efficiency in Mobile Wireless Sensor Networks

Kumaran, K. Manikanda; Chinnadurai, M.

doi:10.1007/s11277-020-07741-0

Cited by 8 publications

(5 citation statements)

References 22 publications

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“…Furthermore, the scenarios were varied with different packet rates, starting with 0.33 per second, followed by 0.7/s, 1.5/s, 2.2/s, and 3.6/s. In these scenarios, the number of total nodes was fixed to 121, of which 20 were malicious nodes ( IDs 22,24,14,16,21,23,15,13,18,10,11,19,4,8,2,6,9,17,12,and 20), as shown in Figure 5, and the simulation was run for 300 s. The energy comparison between P-BIOSARP, E-BIOSARP, BIOSARP, and SRTLD is shown in Figure 12.…”

Section: Resultsmentioning

confidence: 99%

“…nodes was fixed to 121, of which 20 were malicious nodes ( IDs 22,24,14,16,21,23,15,13,18,10,11,19,4,8,2,6,9,17,12,and 20), as shown in Figure 5, and the simulation was run for 300 s. The energy comparison between P-BIOSARP, E-BIOSARP, BIOSARP, and SRTLD is shown in Figure 12.…”

Section: Resultsmentioning

confidence: 99%

“…In a network, when mobility is enabled, these mobile nodes affect the reliability of data transmission [18,19]. Many routing protocols address delay issues to enhance data availability [20]. Networks with a dynamic topology, where devices connect and disconnect rapidly, require a cost optimization mechanism that enables and disables features according to the data flow and device capability [21,22].…”

Section: Introductionmentioning

confidence: 99%

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Ant Colony Optimization ACO Based Autonomous Secure Routing Protocol for Mobile Surveillance Systems

Saleem

Ahmad

2022

Drones

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Sensing plays a vital role in enabling smart cities. The mobile surveillance of different sectors, the retransmission of radio signals, and package delivery are the main applications conducted by unmanned vehicles in smart cities. Multiple unmanned vehicles or miniaturized real-time flying machines with onboard sensors, whether land- or air-based, communicate with each other to form a flying sensor network. Almost all of these machines are battery-operated. Therefore, power preservation is an extremely important factor to be taken into consideration. This paper proposes a power-aware biologically inspired secure autonomous routing protocol (P-BIOSARP) that depends on enhanced ant colony optimization (eACO). eACO autonomously and securely routes the data packet, and the power awareness maintains the power consumption of the flying sensor network. The novel intelligent power-aware routing protocol was implemented in network simulator 2 to perform a number of experiments with different scenarios. The scenarios included varying numbers of total nodes and mobile nodes, different packet rates, mobile source nodes, multiple mobile routing nodes, and, on the side of security, the injection of malicious nodes. The proposed protocol is compared with BIOSARP, E-BIOSARP, and SRTLD in terms of energy consumption, the delivery ratio, and traffic overhead. The analysis shows that the P-BIOSARP remarkably reduces energy consumption compared to other well-known protocols implemented on real testbeds.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Ant Colony Optimization ACO Based Autonomous Secure Routing Protocol for Mobile Surveillance Systems

Saleem

Ahmad

2022

Drones

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“…To begin, a node must satisfy its network duties and roles. If it is designed to send video, it must use a high-bandwidth interface [19]. If it is meant to transfer data, on either hand, it may offer a wider choice of network interface options.…”

Section: Construction Of Hybridmentioning

confidence: 99%

Energy-Efficient Routing Protocol for Next-Generation Application in the Internet of Things and Wireless Sensor Networks

Dogra

Rani

Babbar

et al. 2022

Wireless Communications and Mobile Computing

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Among the key challenges with wireless sensor networks (WSNs) is that most sensor nodes are fueled by energy-constrained batteries, which has a significant impact on the network’s efficiency, reliability, and durability. As a result, many clustering approaches have been developed to enhance the energy efficiency of WSNs. Meanwhile, fifth-generation (5G) transmissions necessitate the usage of multiple-input multiple-output (MIMO) multiple antennas in numerous Internet of Things (IoT) applications to furnish increased capacity in a multipath spectrum environment. Instead of a single senor that can facilitate better load balancing utilization, we believe to balance the energy utilization per unit area. The devices in IoT are submerged with various transmission interfaces known as MIMO in 5G networks. With MIMO being more commonly accessible on IoT devices, an effective clustering approach for rapidly evolving IoT systems is both lacking and urgently needed to support a variety of user scenarios. In this paper, we proposed the intelligent MIMO-based 5G balanced energy-efficient protocol which focuses to achieve Quality of Experience (QoE) for transmitting in clusters for IoT networks. The proposed protocol enhances the utilization of energy and lifetime of the network in which it shows 30% less energy utilized in comparison to the existing protocols.

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“…In the cloud development paper [12] participant predominantly recommended a conceptual mathematical formalism-conscious VM placement process [13].The authors of [14,15] have presented a method that utilises a three-layer cloud computing network and load balancing idea. Authors in [16] present enhanced load balanced Min-Min (ELBMM) method as a resource management method.Another technique suggested in [17] is a Resource-based Load balanced Min-Min (RBLMM). The technique is also designed to balance workload on virtual machines and take Makespan reduction into account.The authors of [18] suggested effective load balancing and scheduling techniques that would minimise execution time for the advantage of both cloud users and service providers.…”

Section: Related Workmentioning

confidence: 99%

Energy Efficiency Based Load Balancing Optimization Routing Protocol In 5G Wireless Communication Networks

Paikaray¹,

Chhabra²,

Sharma³

et al. 2022

Int. j. commun. netw. inf. secur.

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A significant study area in cloud computing that still requires attention is how to distribute the workload among virtual machines and resources. Main goal of this research is to develop an efficient cloud load balancing approach, improve response time, decrease readiness time, maximise source utilisation, and decrease activity rejection time. This research propose novel technique in load balancing based network optimization using routing protocol for 5G wireless communication networks. the network load balancing has been carried out using cloud based software defined multi-objective optimization routing protocol. then the network security has been enhanced by data classification utilizing deep belief Boltzmann NN. Experimental analysis has been carried out based on load balancing and security data classification in terms of throughput, packet delivery ratio, energy efficiency, latency, accuracy, precision, recall.

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A Competent Ad-hoc Sensor Routing Protocol for Energy Efficiency in Mobile Wireless Sensor Networks

Cited by 8 publications

References 22 publications

Ant Colony Optimization ACO Based Autonomous Secure Routing Protocol for Mobile Surveillance Systems

Ant Colony Optimization ACO Based Autonomous Secure Routing Protocol for Mobile Surveillance Systems

Energy-Efficient Routing Protocol for Next-Generation Application in the Internet of Things and Wireless Sensor Networks

Energy Efficiency Based Load Balancing Optimization Routing Protocol In 5G Wireless Communication Networks

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