RCER: Reliable Cluster-based Energy-aware Routing protocol for heterogeneous Wireless Sensor Networks

Haseeb, Khalid; Abbas, Naveed; Saleem, Muhammad; Sheta, Osama E.; Awan, Khalid Mahmood; Islam, Naveed; Rehman, Waheed Ur; Salam, Tabinda

doi:10.1371/journal.pone.0222009

Cited by 26 publications

(22 citation statements)

References 42 publications

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“…Therefore, the approach might increase control packet over-head because the network topology changes based on the node(s) mobility [8]. reliable cluster-based energy-aware routing (RCER) proposed by the researchers in [28] is another example of cluster-based routing in WSNs with focus on increasing network-lifetime whilst maintaining optimum roundtime-trip (RTT) for packet delivery. The interesting point of the porposed approach is targeting heterogenous sensor nodes.…”

Section: Literature Review and Related Workmentioning

confidence: 99%

S-CDCA: a semi-cluster directive-congestion protocol for priority-based data in WSNs

Shukur

2021

IJEECS

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The internet of things (IoT) protocols and regulations are being developed forvarious applications includes: habitat monitoring, machinery control, general health-care, smart-homes and more. A great part of I0T comprised of sensors nodes in connected networks (i.e. sensor networks.). A sensor network is a group of nodes with sensory module and computational elements connected through network interfaces. The most interesting type of sensor networks are wireless sensor networks. The nodes here are connected through wirless interfaces. The shared medium between these nodes, creates different challenges. Congestion in such network is ineavitable. Different models andmethods were proposed to alleviate congestion in wireless sensor networks.This paper presents a semi-cluster directive congestion method that allivatenetwork congestion forpriority-baseddata transmission. The method simprove the network performance by implementing temporary cluster forlow level priority data packets while providing a clear link between highpriority data source node and the network base station. Simulation resultsshow that. The proposed method outperformes ad hocOn-demand distance vector (AODV) reactive procotol approach and priority-based congestion control dynamic clustering (PCCDC) a cluster-based methodin network energy consumption and control packets overhead during network operation.The proposed method also shows comparative improvments in end-to-enddelays versus PCCDC.

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Section: Literature Review and Related Workmentioning

confidence: 99%

S-CDCA: a semi-cluster directive-congestion protocol for priority-based data in WSNs

Shukur

2021

IJEECS

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“…It is done by using TDMA schedule, which is an efficient way to use bandwidth and represent a low latency way. [46][47][48] The sensed data are transmitted by all non-CH sensor nodes to their corresponding CH. CHs turned on their receiver to receive all the data from connected non-CHs during transmission slots in a particular round.…”

Section: Steady Phasementioning

confidence: 99%

Analysis of security and energy efficiency for shortest route discovery in low‐energy adaptive clustering hierarchy protocol using Levenberg‐Marquardt neural network and gated recurrent unit for intrusion detection system

Mittal

Iwendi

Khan

et al. 2020

Trans Emerging Tel Tech

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Wireless sensor network (WSN) is a collection of a huge number of autonomous sensor nodes having capabilities such as sensing, processing, and manipulation.In any WSN, routing protocols are the backbone for performing all type tasks such as sensing, controlling, and transmission of packets in ubiquitous environment. In this article, a LEACH protocol with Levenberg-Marquardt neural network (LEACH-LMNN) is considered to analyze the overall network lifetime. The aim of LEACH-LMNN protocol comprises two parts: selection of cluster head node using LMNN approach and the second part is to locate the shortest path from the cluster-head node to base-station node adopting various route discovery algorithms, that is, breadth-first search, Bellman-Ford, and Dijkstra.The simulation result shows that the LEACH-LMNN protocol with the Dijkstra shortest path algorithm outperforms other route discovery algorithms. In addition to this, this work also analyzes normal and anomaly detection based on intrusion detection system in wireless sensor networks using gated mechanism, that is, long short-term memory (LSTM) and gated recurrent unit (GRU) in deep learning models. The proposed model achieves the highest detection rate of 97.84% for GRU and 97.85% for LSTM as well as improves the false positive rate (FPR) of 5.87% and 3.88% FPR for GRU and LSTM, respectively. INTRODUCTIONWireless sensor networks is a collaboration of huge range of autonomous sensors. It communicates with each other via radio signals. 1,2 Each node has capability of sensing, processing, and communicating. The communication is done either directly if the base-station (BS) node is one-hop distant or via intermediate sensor nodes in multihop formation. The sensor routing protocols play a vital role in managing various processes of communication, manipulation, and other functional activities. Moreover, sensor routing protocols are a valuable part of signal processing and provide a platform for autonomous sensor nodes that do work collaboratively. [3][4][5] The communication between sensor nodes is responsible for energy depletion of those involved in communication. The consumption of energy is at highest level, while sensor node communicates with neighboring sensor nodes. The proper utilization of energy consumption of each node is a prime

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“…Haseeb et al [9] proposed a Reliable Cluster-based Energy-aware Routing (RCER) protocol to improve the network lifetime and reduce the routing cost. Initially, the network was split into the geographical clusters for creating the network more power-efficient.…”

Section: Literature Surveymentioning

confidence: 99%

“…It defines the total amount of energy dissipated by the network during data transmission and computed by (9). Figure 2 shows the average energy consumption (in terms of %) of TARE-TOPSIS, RE-TOPSIS and LEACH protocols with the number of rounds.…”

Section: Average Energy Consumptionmentioning

confidence: 99%

Traffic-Aware Reliability Enhanced Cluster Head Selection Based Routing for Heterogeneous WSNs

Tamilselvi*,

Rizwana

2020

IJITEE

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One of the most important challenges for Wireless Sensor Networks (WSNs) is improving the lifespan of the network. This is tackled by the clustering technique that simplifies the routing in WSNs. The clustering strategy only takes into account a small number of nodes randomly selected as Cluster Heads (CHs). CH’s main task is to collect the sensed data from their member nodes, aggregate it and transmit it to the sink or Base Station (BS). Several clustering strategies are proposed to significantly increase energy efficiency and lifespan of the network. Among those, Reliability-based Enhanced Technique for Ordering of Preference by Similarity-Ideal-Solution (RETOPSIS) using fuzzy logic model promotes effective CHs selection and network lifespan with the consideration of five different criteria like remaining power, distance between neighboring nodes, distance between the sink and CHs, energy efficiency and availability of adjacent nodes. This algorithm is only appropriate for energy heterogeneity scenarios. Conversely, under multi-level traffic heterogeneities, routing is not successful due to the considered criteria. For WSNs with heterogeneity scenarios, considering traffic as well as energy heterogeneities is the most important to maximize the network’s lifespan. Hence, a Traffic-Aware RE-TOPSIS (TARE-TOPSIS) for an effective CH selection protocol is proposed in this article which considers the traffic of nodes along with their initial and residual power. This protocol provides the framework for selecting CH under multilevel traffic and energy heterogeneities. This considers the node’s initial energy, traffic load including five criteria in RE-TOPSIS to efficiently choose the CH during each cycle. At last, simulation outcomes exhibit that the proposed technique outperforms the RE-TOPSIS technique in terms of network lifespan, average energy consumption, throughput and Packet Delivery Ratio (PDR).

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RCER: Reliable Cluster-based Energy-aware Routing protocol for heterogeneous Wireless Sensor Networks

Cited by 26 publications

References 42 publications

S-CDCA: a semi-cluster directive-congestion protocol for priority-based data in WSNs

S-CDCA: a semi-cluster directive-congestion protocol for priority-based data in WSNs

Analysis of security and energy efficiency for shortest route discovery in low‐energy adaptive clustering hierarchy protocol using Levenberg‐Marquardt neural network and gated recurrent unit for intrusion detection system

Traffic-Aware Reliability Enhanced Cluster Head Selection Based Routing for Heterogeneous WSNs

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