Analysis and modelling the effects of mobility, Churn rate, node’s life span, intermittent bandwidth and stabilization cost of finger table in structured mobile P2P networks

Singh, Sanjeev Kumar; Kumar, Chiranjeev; Nath, Prem

doi:10.1007/s11276-020-02493-y

Cited by 4 publications

(1 citation statement)

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“…Hence it will increase the overhead on energy and buffer size for individual nodes [ 17 ] [ 18 ]. If the nodes have mobility [ 31 ] and churn rate [ 32 ], it becomes difficult to implement two different algorithms in the IWSN environment. So, instead of finding a critical node using a separate algorithm.…”

Section: Introductionmentioning

confidence: 99%

Angle Based Critical Nodes Detection (ABCND) for Reliable Industrial Wireless Sensor Networks

Shukla

2023

Wireless Pers Commun

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Node failure in the Wireless Sensor Networks (WSN) topology may lead to economic loss, endanger people, and cause environmental damage. Node reliability can be achieved by adequately managing network topology using structural approaches, where the critical nodes are precisely detected and protected. This paper addresses the problem of critical node detection and presents two-phase algorithms (ABCND). Phase-I, a 2 D Critical Node ( C - N ) detection algorithm, is proposed, which uses only the neighbor’s Received Signal Strength Indicator ( RSSI ) information. In Phase II, a correlation-based reliable RSSI approach is proposed to increase the node resilience against the adversary. The proposed algorithms ( ABCND ) require time for convergence and for Critical Node detection, N represents the number of IoT devices, and is the cost required to forward the message. We compare our algorithm (ABCND) with the current state-of-the-art on C - N detection algorithms. The simulation result shows that the proposed ABCND algorithm consumes 50% less energy to detect C - N with 90% to 95% accurate Critical Nodes ( C - N ).

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Section: Introductionmentioning

confidence: 99%