Hybrid salp swarm–firefly algorithm‐based routing protocol in wireless multimedia sensor networks

Gowda, Ambareesh Srinivasa; Madheswari, A. Neela

doi:10.1002/dac.4633

Cited by 12 publications

(3 citation statements)

References 29 publications

(52 reference statements)

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“…Srinivasa Gowda et al [20] proposed the Hybrid Salp Swarm-Firefly (HSSFF) technique, which contains the SALP swarm and firefly optimization approaches, which was also suggested in this study. The HSSFF technique was used to identify the best routing path with the less expected transmission count value and the smallest amount of end-to-end delay.…”

Section: Literature Reviewmentioning

confidence: 99%

Enhancing Packet Reliability in Wireless Multimedia Sensor Networks using a Proposed Distributed Dynamic Cooperative Protocol (DDCP) Routing Algorithm

Al-Jabry,

Al-Asadi

2023

IJEEE

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Wireless Multimedia Sensor Networks (WMSNs) are being extensively utilized in critical applications such as environmental monitoring, surveillance, and healthcare, where the reliable transmission of packets is indispensable for seamless network operation. To address this requirement, this work presents a pioneering Distributed Dynamic Cooperation Protocol (DDCP) routing algorithm. The DDCP algorithm aims to enhance packet reliability in WMSNs by prioritizing reliable packet delivery, improving packet delivery rates, minimizing end-to-end delay, and optimizing energy consumption. To evaluate its performance, the proposed algorithm is compared against traditional routing protocols like Ad hoc On-Demand Distance Vector (AODV) and Dynamic Source Routing (DSR), as well as proactive routing protocols such as Optimized Link State Routing (OLSR). By dynamically adjusting the transmission range and selecting optimal paths through cooperative interactions with neighboring nodes, the DDCP algorithm offers effective solutions. Extensive simulations and experiments conducted on a wireless multimedia sensor node testbed demonstrate the superior performance of the DDCP routing algorithm compared to AODV, DSR, and OLSR, in terms of packet delivery rate, end-to-end delay, and energy efficiency. The comprehensive evaluation of the DDCP algorithm against multiple routing protocols provides valuable insights into its effectiveness and efficiency in improving packet reliability within WMSNs. Furthermore, the scalability and applicability of the proposed DDCP algorithm for large-scale wireless multimedia sensor networks are confirmed. In summary, the DDCP algorithm exhibits significant potential to enhance the performance of WMSNs, making it a suitable choice for a wide range of applications that demand robust and reliable data transmission.

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Section: Literature Reviewmentioning

confidence: 99%

Enhancing Packet Reliability in Wireless Multimedia Sensor Networks using a Proposed Distributed Dynamic Cooperative Protocol (DDCP) Routing Algorithm

Al-Jabry,

Al-Asadi

2023

IJEEE

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“…Based on a structure of network, protocol operation, and how routing data collect and maintain, the routing protocols can be made into classification in wireless networks. The multimedia applications include various QoS requirements, such as energy consumption, availability, jitter, throughput, and bounded latency or delay [5]. Many of these routing protocols don't provide great performance under QoS-constrained WMNs as the energy-efficiency is the main objective for routing protocols.…”

Section: Introductionmentioning

confidence: 99%

MPIGA – Multipath Selection Using Improved Genetic Algorithm

Satyanarayana¹,

Devi²,

Rao³

2022

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

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The Wireless Multimedia Networks (WMNs) have developed due to the extensive applications of wireless devices and increasing availability of lower cost hardware. The WMNs are used to transmit the multimedia content like audio and video streaming and they can be deployed within a lower budget. These networks can also be used in real-time data applications that demand energy-efficient management and awareness of Quality of Service (QoS). The energy resources are limited in the wireless devices that lead to the significant threats on the QoS for WMNs. An energy-efficient routing technique is needed to handle the dynamic topology of WMN that includes a vital resource as energy. The energy-efficient routing method was proposed in this work for the purpose of data communication based on a cluster head selection from each cluster in addition to the multipath route selection to reduce the network overhead and energy consumption. The cluster heads for each cluster are selected based on Node Coverage & average residual energy parameters.In this work, the proposed energy efficient routing algorithm uses improved genetic algorithm (IGA)based on a cost function for dynamic selection of the best path. The proposed cost function uses link lifetime &average link delay parameters to estimate the link cost. The proposed algorithm’s performance compared with other previous routing methods based on extensive simulation analysis. The results showed that the proposed method achieves better performance over three other routing techniques.

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“…Because of the recent progress in the area of Micro-Electro-Mechanical-Systems (MEMS), wireless telecommunications, smart sensors, and digital electronics, low-power, small, and inexpensive sensor nodes can be built that have the capability of wireless communication. These small sensor nodes consist three elements: information processing, sensor, and wireless information transmission [1][2][3][4]. Wireless sensor nodes are powered by battery, which in most cases is non-rechargeable.…”

Section: Introductionmentioning

confidence: 99%

A firefly algorithm for power management in wireless sensor networks (WSNs)

Pakdel

Fotohi

2021

J Supercomput

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In Wireless Sensor Networks (WSNs), designing a stable, low-power routing protocol is a major challenge because successive changes in links or breakdowns destabilize the network topology. Therefore, choosing the right route in this type of network due to resource constraints and their operating environment is one of the most important challenges in these networks.Therefore, the main purpose of these networks is to collect appropriate routing information about the environment around the network sensors while observing the energy consumption of the sensors. One of the important approaches to reduce energy consumption in sensor networks is the use of the clustering technique, but in most clustering methods, only the criterion of the amount of energy of the cluster or the distance of members to the cluster has been considered. Therefore, in this paper, a method is presented using the firefly algorithm and using the four criteria of residual energy, noise rate, number of hops, and distance. The proposed method called EM-FIREFLY is introduced which selects the best cluster head with high attractiveness and based on the fitness function and transfers the data packets through these cluster head to the sink.The proposed method is evaluated with NS-2 simulator and compared with the Algorithm-PSO and Optimal clustering methods. The evaluation results show the efficiency of the EM-FIREFLY method in Maximum relative load and Network Lifetime criteria compared to other methods discussed in this article.

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Hybrid salp swarm–firefly algorithm‐based routing protocol in wireless multimedia sensor networks

Cited by 12 publications

References 29 publications

Enhancing Packet Reliability in Wireless Multimedia Sensor Networks using a Proposed Distributed Dynamic Cooperative Protocol (DDCP) Routing Algorithm

Enhancing Packet Reliability in Wireless Multimedia Sensor Networks using a Proposed Distributed Dynamic Cooperative Protocol (DDCP) Routing Algorithm

MPIGA – Multipath Selection Using Improved Genetic Algorithm

A firefly algorithm for power management in wireless sensor networks (WSNs)

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