A score based link delay aware routing protocol to improve energy optimization in wireless sensor network

Nisha, U. Nilabar; Manikandan, A.; Venkataramanan, C.; Dhanapal, R.

doi:10.1016/j.jer.2023.100115

Cited by 14 publications

(3 citation statements)

References 23 publications

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“…A multichannel MAC with CSMA for data exchange and TDMA, FDMA for collision free in network is proposed to handle dynamic positions of nodes and link quality in harsh environments. Fuy clustering and flower optimizations are combined to identify malicious nodes and get rid of them to increase network lifetime, performance (Manikandan, A. et al, 2023). MAC protocol helps in decreasing the depletion methods by using back off exponent to prevent collisions, optimizing synchronous cycle using SMAC and thereby controlling energy constraint in the network (Uthayakumar, G. S. et al, 2023).…”

Section: Optimization Algorithmsmentioning

confidence: 99%

“…In harsh environments, the possibility of change in node positions and link quality are more, a link aware and score based protocol is proposed to increase lifetime (Manikandan, A. et al, 2023). A hill climbing algorithm with distributed and environment driven conditions is proposed to have trade-off between energy and lifetime in the network (Yaman, A. et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

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Optimization Techniques in Cooperative and Distributed MAC Protocols

Subramanyam,

Rekha,

Nagabushanam

et al. 2024

International Journal of Intelligent Information Technologies

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The tremendous increase in wireless network application finds distributed allocation of resources allocation very useful in the network. Packet delivery ratio and delay can be improved by concentrating on payload size, mobility, and density of nodes in the network. In this article, a survey is carried out on different cooperative and distributed MAC protocols for communication and optimization algorithms for various applications and the mathematical issues related to game theory optimizations in MAC protocol. Spatial reuse of channel improved by (3-29) % and multi-channel improves throughput by 8% using distributed MAC protocol. The energy utility of individual players can be focused to get better network performance with NASH equilibrium. Fuzzy logic improves channel selection by 17% and secondary users' involvement by 8%. Jamming, interference problems can be addressed using cross layer approach in the MAC and simultaneous data, voice transmissions in IoT; WSN applications can be attained using hybrid distributed MAC protocol.

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Section: Optimization Algorithmsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimization Techniques in Cooperative and Distributed MAC Protocols

Subramanyam,

Rekha,

Nagabushanam

et al. 2024

International Journal of Intelligent Information Technologies

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“…In 2023, N. N. U, M. A, V. C, and D. R [17] presented a simple and direct and innovative routing method called "Score-based Link Delay Aware Routing (SBLDAR)" uses "CSMA/CA (Carrier Sense Multiple Access/ Collision Avoidance)" to exchange data, TDMA sequencing node activity, and "FDMA (Frequency Division Multiple Access)" to allow collision-free exchange simultaneously. This work proposes "Fuzzy-based Modified Sun Flower Optimisation (FMSFO)" to solve this problem.algorithm to select efficient CH after considering several trust factors to detect malicious nodes.…”

Section: Literature Surveymentioning

confidence: 99%

A Hybrid MFCM-PSO Approach for Tree-Based Multi-Hop Routing Using Modified Fuzzy C-Means in Wireless Sensor Network

Sikarwar,

Tomar

2023

IEEE Access

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A wireless sensor network (WSN) collects data from various monitoring systems using small sensor nodes (SNs). The WSN analyses and sends found data to the BS. SNs have a short lifespan, therefore the sensor network must gather and transmit data efficiently. Energy efficiency is the main difficulty in sensor network organisation. Sensor nodes require energy efficiency due to their high cost and limited capacity. This limitation significantly compromises the longevity of the network. The anticipated demands on a node's battery determine its lifespan. Sensor networks must be resilient to sensor node lifetime reduction. Energyefficient routing algorithms may increase the lifetime of multihop networks by selecting the most energyefficient approach. Unfortunately, the present technique has performance issues. Modified Fuzzy C-Means with Particle Swarm Optimization (MFCM-PSO) is a novel hybrid clustering method that combines fuzzy cmeans with PSO to address the shortcomings of existing methods that use FCM to determine cluster centres and then optimise them using PSO. The PSO helps choose optimum no. of clusters and CHs (Cluster Heads). This method uses 100 and 200 sensor nodes. We devised a hierarchical packet routing technique by introducing the concepts of Direct Cluster Head (DCH) and PCH (Parent Cluster Head), that are chosen based on distinct FF (Fitness Functions) and act as relays for a limited number of other CHs, saving network energy. The simulation results represents that the proposed MFCM-PSO method superior performance base EEHCHR on scenario-1, with 28% for FND (First Node Dead), 23% for HND (Half Node Dead), and 19% for LND (Last Node Dead), and on scenario-2, 8% for FND, 23% for HND, and assumed 36% for LND since no node dies up to 1500 rounds. Thus, the simulation results suggest that the MFCM-PSO method improves coverage, network energy, and lifetime efficiency over the EEHCHR method.

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Novel Radio Scheduling Framework for Optimal Energy Efficiency in Wireless Sensor Network

Mathew,

Mary Pushpa

2024

Lecture Notes in Networks and Systems

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A score based link delay aware routing protocol to improve energy optimization in wireless sensor network

Cited by 14 publications

References 23 publications

Optimization Techniques in Cooperative and Distributed MAC Protocols

Optimization Techniques in Cooperative and Distributed MAC Protocols

A Hybrid MFCM-PSO Approach for Tree-Based Multi-Hop Routing Using Modified Fuzzy C-Means in Wireless Sensor Network

Novel Radio Scheduling Framework for Optimal Energy Efficiency in Wireless Sensor Network

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