A novelistic approach for energy efficient routing using single and multiple data sinks in heterogeneous wireless sensor network

Verma, Sandeep; Sood, Neetu; Sharma, Ajay K.

doi:10.1007/s12083-019-00777-5

Cited by 56 publications

(43 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This assumption simplifies considerably the research needed for the study of the relevant research issues, but it may lead to unrealistic results because in real-life scenarios heterogeneous WSNs are too common to ignore [27]. In order to cope with this issue, novel research works are proposed [203][204][205].…”

Section: Open Research Issuesmentioning

confidence: 99%

Energy Efficient Routing in Wireless Sensor Networks: A Comprehensive Survey

2020

View full text Add to dashboard Cite

Wireless Sensor Networks (WSNs) are among the most emerging technologies, thanks to their great capabilities and their ever growing range of applications. However, the lifetime of WSNs is extremely restricted due to the delimited energy capacity of their sensor nodes. This is why energy conservation is considered as the most important research concern for WSNs. Radio communication is the utmost energy consuming function in a WSN. Thus, energy efficient routing is necessitated to save energy and thus prolong the lifetime of WSNs. For this reason, numerous protocols for energy efficient routing in WSNs have been proposed. This article offers an analytical and up to date survey on the protocols of this kind. The classic and modern protocols presented are categorized, depending on i) how the network is structured, ii) how data are exchanged, iii) whether location information is or not used, and iv) whether Quality of Service (QoS) or multiple paths are or not supported. In each distinct category, protocols are both described and compared in terms of specific performance metrics, while their advantages and disadvantages are discussed. Finally, the study findings are discussed, concluding remarks are drawn, and open research issues are indicated.

show abstract

Section: Open Research Issuesmentioning

confidence: 99%

Energy Efficient Routing in Wireless Sensor Networks: A Comprehensive Survey

2020

View full text Add to dashboard Cite

show abstract

“…However, its CH selection was inefficient due to the distributed approach of CH selection and haul transmission. Verma et al [ 47 ] proposed two protocols, namely the multiple data sink-based energy-efficient cluster routing (MEEC) protocol and improved dual hop routing (IDHR) protocol, for electing the optimal CH selection in WSN. It concentrated mainly on the network longevity and network hotspot problem.…”

Section: Related Workmentioning

confidence: 99%

CT-RPL: Cluster Tree Based Routing Protocol to Maximize the Lifetime of Internet of Things

Sankar¹,

Ramasubbareddy

Luhach

et al. 2020

Sensors

View full text Add to dashboard Cite

Energy conservation is one of the most critical challenges in the Internet of Things (IoT). IoT devices are incredibly resource-constrained and possess miniature power sources, small memory, and limited processing ability. Clustering is a popular method to avoid duplicate data transfer from the participant node to the destination. The selection of the cluster head (CH) plays a crucial role in gathering and aggregating the data from the cluster members and forwarding the data to the sink node. The inefficient CH selection causes packet failures during the data transfer and early battery depletion nearer to the sink. This paper proposes a cluster tree-based routing protocol (CT-RPL) to increase the life span of the network and avoid the data traffic among the network nodes. The CT-RPL involves three processes, namely cluster formation, cluster head selection, and route establishment. The cluster is formed based on the Euclidean distance. The CH selection is accomplished using a game theoretic approach. Finally, the route is established using the metrics residual energy ratio (RER), queue utilization (QU), and expected transmission count (ETX). The simulation is carried out by using a COOJA simulator. The efficiency of a CT-RPL is compared with the Routing Protocol for Low Power and Lossy Networks (RPL) and energy-efficient heterogeneous ring clustering routing (E2HRC-RPL), which reduces the traffic load and decreases the packet loss ratio. Thus, the CT-RPL enhances the lifetime of the network by 30–40% and the packet delivery ratio by 5–10%.

show abstract

“…Paola et al 42 reported Prolonged‐Stable Election Stable (P‐SEP) that followed the random process for the CH selection rather considering the factors like energy, distance, or others. Verma et al 43 proposed multiple sink‐based energy efficient clustering (MEEC) that employed the four sinks outside the network. Further, the selection of CH was done based on energy, node density, and the distance factors.…”

Section: Literature Workmentioning

confidence: 99%

“…The standard radio energy model is incorporated in the system framework of PSODSM. It can be referred from the study included inVerma et al 43 …”

Section: The System Framework Of Psodsmmentioning

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

View full text Add to dashboard Cite

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.

show abstract

A novelistic approach for energy efficient routing using single and multiple data sinks in heterogeneous wireless sensor network

Cited by 56 publications

References 46 publications

Energy Efficient Routing in Wireless Sensor Networks: A Comprehensive Survey

Energy Efficient Routing in Wireless Sensor Networks: A Comprehensive Survey

CT-RPL: Cluster Tree Based Routing Protocol to Maximize the Lifetime of Internet of Things

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

Contact Info

Product

Resources

About