Hot spot aware energy efficient clustering approach for Wireless Sensor Networks

Joshi, Manoj K.; Osborne, Lawrence; Sun, Bo; Makki, S. Kami

doi:10.1109/ccnc.2011.5766548

Cited by 5 publications

(5 citation statements)

References 7 publications

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“…Hotspot Aware Energy. In [70], the authors proposed a hotspot aware energy resourceful clustering approach for WSN. In this protocol, an unequal clustering mechanism is formulated where unequal clustering depends upon the distance from the BS.…”

Section: Hybrid Protocolsmentioning

confidence: 99%

Mitigating Hotspot Issues in Heterogeneous Wireless Sensor Networks

et al. 2022

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Wireless Sensor Networks (WSNs) consist of a spatially distributed set of autonomous connected sensor nodes. The deployed sensor nodes are extensively used for sensing and monitoring for environmental surveillance, military operations, transportation monitoring, and healthcare monitoring. The sensor nodes in these networks have limited resources in terms of battery, storage, and processing. In some scenarios, the sensor nodes are deployed closer to the base station and responsible to forward their own and neighbor nodes’ data towards the base station and depleted energy. This issue is called a hotspot in the network. Hotspot issues mainly appear in those locations where traffic load is more on the sensor nodes. The dynamic and unequal clustering techniques have been used and mitigate the hotspot issues. However, with few benefits, these solutions have suffered from coverage overhead, network connection issues, unbalanced energy utilization among the sink nodes, and network stability issues. In this paper, a comprehensive review of various equal clustering, unequal clustering, and hybrid clustering approaches with their clustering attributes is presented to mitigate hotspot issues in heterogeneous WSNs by using various parameters such as cluster head selection, number of clusters, zone formation, transmission, and routing parameters. This review provides a detailed platform for new researchers to explore the new and novel solutions to solve the hotspot issues in these networks.

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Section: Hybrid Protocolsmentioning

confidence: 99%

Mitigating Hotspot Issues in Heterogeneous Wireless Sensor Networks

et al. 2022

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“…Authors [49] derived a cluster size optimization model using the concept of the spatially correlation in data. Authors [50] focused on balancing the energy consumption between CHs. The underlying principle behind the work in was that CHs near the sink require relaying more traffic than outsider CHs and therefore undergoes high energy depletion.…”

Section: Be Effective To Enable a Qos Oriented And Energy Efficient Rmentioning

confidence: 99%

QoS Oriented and Energy Efficient Routing Protocol for Cooperative MIMO Based Mobile WSN: Q-E2RPC

Reddy¹,

Devanagavi²,

Thippeswamy³

2019

JESTR

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In this paper, a robust mobility assisted WSN routing protocol named QoS oriented and Energy Efficient Routing Protocol for Cooperative Multiple Input Multiple Output (MIMO) based mobile WSNs (Q-E2RPC) has been developed that exploits the efficiency of network partitioning, Fuzzy Clustering Mean (FCM) and Expectation Maximization (EM) based clustering, Fuzzy Logic Controller (FLC) based Cluster Head (CH) selection and mobile sink based data gathering to meet QoS demands and energy efficiency. Unlike classical clustering methods FCM and EM as a cumulative solution enables optimal clustering, which is followed by the multiple network parameters based CH selection. The use of single mobile sink avoided multi-hop transmission and signaling overheads that eventually reduced energy consumption. Q-E2RPC protocol exhibited timely data delivery, low energy consumption, and reduced signaling overheads. The results exhibited that Q-E2RPC outperforms other state-of-art techniques in terms of higher throughput, low delay and energy consumption, and higher network efficacy.

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“…Supporting the mobility of sensor nodes is one of the most important factors to enable WSNs because wireless sensor nodes can be attached to the human body, vehicles, and other mobile objects. Hence, the network layer should be implemented with an efficient routing algorithm for such nodes [7,[9][10][11][12][13].…”

Section: Related Workmentioning

confidence: 99%

“…In [12], authors proposed hot spot-aware clustering approach based on two-tier hierarchy, in which cluster heads form the higher tier while member nodes form the low tiers. They address a hot spot problem that arises in the vicinity of the base stations.…”

Section: Other Routing Protocolsmentioning

confidence: 99%

See 1 more Smart Citation

Performance Evaluation of a Simple Cluster-Based Aggregation and Routing in Wireless Sensor Networks

Hong

Park

Gil

2013

International Journal of Distributed Sensor Networks

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In future ubiquitous networks, sensor nodes should collect various environmental data and parameters. Because sensor nodes tend to have small and often irreplaceable batteries with limited power capacity, energy-efficient aggregation and routing are essential to achieve to a prolonged network lifetime. We propose a simple cluster-based data aggregation and routing algorithm (SCAR) that decreases the incurred overhead during the selection of cluster heads in wireless sensor networks. The performance results show that SCAR can prolong network lifetime via energy conservation and achieve energy-balancing when nodes are fixed or have limited mobility.

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Hot spot aware energy efficient clustering approach for Wireless Sensor Networks

Cited by 5 publications

References 7 publications

Mitigating Hotspot Issues in Heterogeneous Wireless Sensor Networks

Mitigating Hotspot Issues in Heterogeneous Wireless Sensor Networks

QoS Oriented and Energy Efficient Routing Protocol for Cooperative MIMO Based Mobile WSN: Q-E2RPC

Performance Evaluation of a Simple Cluster-Based Aggregation and Routing in Wireless Sensor Networks

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