A Survey on Topology Maintenance Techniques to Extend the Lifetime of Wireless Sensor Networks

Shahid, Amna; Qureshi, Hassaan Khaliq

doi:10.1007/978-3-642-41054-3_9

Cited by 3 publications

(3 citation statements)

References 14 publications

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“…The paper uses the diagram to represent the structure of the wireless sensor network, involving the knowledge of Graph Theory [6], so this chapter introduces some basic knowledge of Graph Theory and some related definitions [23][24][25].…”

Section: Relevant Knowledge and Related Definitionsmentioning

confidence: 99%

An Invulnerability Algorithm for Wireless Sensor Network's Topology Based on Distance and Energy

Chen

Liu

et al. 2021

Teh. vjesn.

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Section: Relevant Knowledge and Related Definitionsmentioning

confidence: 99%

An Invulnerability Algorithm for Wireless Sensor Network's Topology Based on Distance and Energy

Chen

Liu

et al. 2021

Teh. vjesn.

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“…Such a team is elected combining criteria related to its number of external physical links, mean fitness score, size, mean number of links with a TREE pheromone. Index λ i obtained by a team T i is calculated using (14). Ties are broken by choosing the team whose head's ID is the lowest…”

Section: • Watch Team Electionmentioning

confidence: 99%

“…The construction phase is in charge of improving the current topology while preserving some characteristics (node connectivity, link bidirectionality etc.). On the other hand, the maintenance phase is aimed at allowing the network to autonomously react to node failures or link disruptions and to restore the desired topological features [14, 15]. This two‐fold goal is very challenging especially in remote and hostile areas, which require a large number of nodes to be deployed.…”

Section: Introductionmentioning

confidence: 99%

Self‐stabilising hybrid connectivity control protocol for WSNs

Diédié

Aka

Michel

2019

IET wirel. sens. syst.

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In this study, the authors address the problem of combining hierarchical and flat techniques to construct and maintain nodes' connectivity as well as links' symmetry (bidirectionality) in a wireless sensor network (WSN) comprising static nodes. They propose a localised and asynchronous self-stabilising hybrid message passing a solution that seamlessly merges three well known connectivity control techniques for such ad hoc networks, namely k-hop clustering (k ≥ 1), power control (transmission range adjustment) and sleep/wake scheduling. Their stigmergy-based strategy (i.e. inspired from ants' pheromone-based communication, division of labour and swarming behaviours) allows a WSN to simultaneously cope with issues such as scalability, fault tolerance, transmission range minimisation, energy hole problem (i.e. premature node deaths in the vicinity of the sink), channel overhearing and signalisation reduction. To the best of their knowledge, such a solution does not exist in the literature. The few self-stabilising hybrid connectivity control protocols currently proposed use only two of the above-mentioned techniques. The authors formally prove the correctness of their scheme and its self-stabilisation property under an unfair distributed daemon. Simulation results show that the proposed scheme has a low average convergence time, is energy efficient and can prolong network lifetime.

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A communication load balanced dynamic wireless sensor network topology management algorithm based on AODV (CLB-AODV)

Ahmed¹,

Ibrahim

Sarhan

2016

2016 11th International Conference on Computer Engineering &Amp; Systems (ICCES)

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A Survey on Topology Maintenance Techniques to Extend the Lifetime of Wireless Sensor Networks

Cited by 3 publications

References 14 publications

An Invulnerability Algorithm for Wireless Sensor Network's Topology Based on Distance and Energy

An Invulnerability Algorithm for Wireless Sensor Network's Topology Based on Distance and Energy

Self‐stabilising hybrid connectivity control protocol for WSNs

A communication load balanced dynamic wireless sensor network topology management algorithm based on AODV (CLB-AODV)

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