Proposing a method to solve energy hole problem in wireless sensor networks

Salehi_Panahi, Morteza; Abbaszadeh, Mortaza

doi:10.1016/j.aej.2017.05.012

Cited by 17 publications

(6 citation statements)

References 5 publications

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“…The paper in [15] proposed a heuristic routing technique to alleviate energy hole problem by considering energy consumption and distance to destination. In each corona zone an aggregator node is nominated as a header and forwards its data to corresponding header at lower corona towards the sink node.…”

Section: Heuristic Route Selectionmentioning

confidence: 99%

“…The mobile sink avoids locations of heavily loaded zones by re-selecting its rendezvous point (RPs) for data collection. The study in [15] proposed dividing the network into hierarchical circles where the inner ones decrease gradually in size as they get closer to the sink nodes. Each layer is divided into sectors each with a header node to accumulate data.…”

Section: Introductionmentioning

confidence: 99%

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A Proactive Energy-Awareness Based Traffic Routing in Tree Topology Wireless Sensor Networks Precluding Energy Holes Formation

Mustafa¹,

Ali²,

Rasid³

et al. 2020

Preprint

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A single tree topology is a commonly employed topology for wireless sensor networks (WSN) to connect sensors to one or more remote gateways. However, its many-to-one traffic routing pattern imposes heavy burden on downstream nodes, as the same routes are repeatedly used for packet transfer, from one or more upstream branches. The challenge is how to choose the most optimal routing paths that minimizes energy consumption across the entire network. This paper proposes a proactive energy awareness-based many-to-one traffic routing scheme to alleviate the above said problem referred to as Energy Balance-Based Energy Hole Alleviation in tree topology (EBEHA-T). This protocol combines updated status of variations in energy consumption pattern around sink-hole zones and distribution of joint nodes among the trees. With this approach, EBEHA-T proactively prevents sink-hole formation instead of just a reactive response after they have occurred. Performance evaluation of EBEHA-T against benchmark method RaSMaLai shows increased energy saving across the entire network and a marked improvement in energy consumption balance in energy-hole zones. This precludes energy hole formation and the consequent network partitioning, leading to improved network lifetime beyond that of the RasMaLai. OMNET++ network simulation software has been used for the evaluation.

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Section: Heuristic Route Selectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Proactive Energy-Awareness Based Traffic Routing in Tree Topology Wireless Sensor Networks Precluding Energy Holes Formation

Mustafa¹,

Ali²,

Rasid³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…On the other hand, it is mandatory to have an explicit maintenance scheme to tolerate at least transient faults. To achieve these goals, we have to take up major challenges such as energy hole problem [47][48][49][50][51], intra-cluster hop stretch phenomenon [24][25][26], signalisation messages reduction and link quality dynamics. To the best of our knowledge, such a hybrid solution does not exist in the literature.…”

Section: Motivationmentioning

confidence: 99%

“…It is worth noting that in order to cope with the energy hole problem [49, 51] we use in the core network (i.e. the sink's 1‐hop neighbourhood) a strategy referred to as Sink‐as‐CH [55].…”

Section: Proposed Solutionmentioning

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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“…The large area applications of WSN creates the requirement for a multihop communication 15 . As discussed above, in the research works proposed so far, the hot‐spot problem is still a major concern 16,17 . The various attempts reported to curb this problem are either on the cost of increasing the financial burden on the network by employing multiple sinks or by adopting the complex topology, that is, in the form of corona model 18 .…”

Section: Introductionmentioning

confidence: 99%

A novel approach for particle swarm optimization‐based clustering with dual sink mobility in wireless sensor network

Kaur

Grewal

2020

Int J Communication

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SummaryThe proliferation in the sensing technology in wireless sensor network has left an everlasting impact to revolutionize every sector of human's lives. The limited battery of sensor nodes (SNs) has generated a tremendous challenge for the researchers to ameliorate the network's life span. To pacify this concern, in this paper, we have proposed a particle swarm optimization (PSO)‐based dual sink mobility (PSODSM) technique to reduce the energy expenditure of the SNs. PSODSM has the paramount focus on the cluster head (CH) selection based on integration of crucial factors: “ratio of remaining energy to the initial energy,” node degree, node centrality, separation factor between the SN and the sink, CH number, and energy consumption rate. As soon as the CHs are selected, two sinks placed opposite to each other are made to move towards the selected CHs for data collection. The most prominent fact is the movement of sinks which is done outside the periphery of the network to collect data rather than the reported conventional research works that employ sink mobility inside the network. Extensive simulations are performed to examine the empirical evaluation of PSODSM based on the benchmark of different performance metrics. The performance validation of PSODSM is done against the other meta‐heuristic algorithms, and findings show that the PSODSM outperforms the competitive algorithms and is also found to be scalable pertaining to real time implementation.

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Proposing a method to solve energy hole problem in wireless sensor networks

Cited by 17 publications

References 5 publications

A Proactive Energy-Awareness Based Traffic Routing in Tree Topology Wireless Sensor Networks Precluding Energy Holes Formation

A Proactive Energy-Awareness Based Traffic Routing in Tree Topology Wireless Sensor Networks Precluding Energy Holes Formation

Self‐stabilising hybrid connectivity control protocol for WSNs

A novel approach for particle swarm optimization‐based clustering with dual sink mobility in wireless sensor network

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