Wireless Sensor Networks: To Cluster or Not To Cluster?

Vlajic, Natalija; Xia, D.

doi:10.1109/wowmom.2006.116

Cited by 99 publications

(66 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The transfer energy of the non cluster head nodes includes the energy consumed in sending the data to the cluster head. The methodology adopted is different from already developed protocols [1][2][3][4]6,[8][9][10] and [15,16] because one cluster which is close to the base station have the cluster co-coordinators for all the clusters (Figure 1) which finally transmits data to the base station that is why path loss exponent is reduced. As data comes through the other cluster co-coordinators so calculation of not only the transfer phase is done for the single cluster head and its nodes but also the energy consumed by all the cluster heads and the cluster co-coordinators coming in the way to see how much energy is consumed (Figure 6).…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

EEICCP—Energy Efficient Protocol for Wireless Sensor Networks

Rani¹,

Malhotra²,

Talwar³

2013

WSN

View full text Add to dashboard Cite

In this paper, an energy efficient inter cluster coordination protocol developed for the wireless sensor networks has been proposed. By controlling the topology, longevity and the scalability of the network can be increased. Clustering sensor node is an effective topology for the energy constrained networks. So cluster based algorithm has been developed in which different levels of clusters are considered on the basis of received signal strength to recognize the distance of the clusters from the BS (base station) and to determine the number of cluster coordinators to make routes for the CHs to transmit the data. Based on the investigation of existing protocols in which cluster heads send data directly to the base station, it is found that direct transmission by the CHs is not an optimal solution and dissipates a lot of energy, so in this paper a novel EEICCP (Energy efficient inter cluster coordination) protocol has been proposed which evenly distributes the energy load among the sensor nodes and use the multi hop approach for the CHs. Analytical model of new protocol is projected and the algorithm is implemented in MATLAB. Moreover, EEICCP has shown remarkable improvement over already existing LEACH and HCR protocols in terms of reliability and stability. Our work has also been validated through the simulation results.

show abstract

Section: Simulation Results and Discussionmentioning

confidence: 99%

EEICCP—Energy Efficient Protocol for Wireless Sensor Networks

Rani¹,

Malhotra²,

Talwar³

2013

WSN

View full text Add to dashboard Cite

show abstract

“…The clustered approach is considered a more sustainable option [20] and has already been widely adopted for the organization of WSNs because of its advantages over non-clustered, centralized schemes in terms of reliability, robustness, scalability, network lifetime, and so forth [61][62][63][64][65][66]. With clustering, the network is segregated into several clusters that consist of subsets of nodes, establishing a hierarchical structure.…”

Section: Cooperation Architecturesmentioning

confidence: 99%

Adaptive Communication Techniques for the Internet of Things

Roussos

2013

JSAN

View full text Add to dashboard Cite

Abstract:The vision for the Internet of Things (IoT) demands that material objects acquire communications and computation capabilities and become able to automatically identify themselves through standard protocols and open systems, using the Internet as their foundation. Yet, several challenges still must be addressed for this vision to become a reality. A core ingredient in such development is the ability of heterogeneous devices to communicate adaptively so as to make the best of limited spectrum availability and cope with competition which is inevitable as more and more objects connect to the system. This survey provides an overview of current developments in this area, placing emphasis on wireless sensor networks that can provide IoT capabilities for material objects and techniques that can be used in the context of systems employing low-power versions of the Internet Protocol (IP) stack. The survey introduces a conceptual model that facilitates the identification of opportunities for adaptation in each layer of the network stack. After a detailed discussion of specific approaches applicable to particular layers, we consider how sharing information across layers can facilitate further adaptation. We conclude with a discussion of future research directions.

show abstract

“…Additionally, for local data compression, this approach coordinates the activities of cluster members, and addresses scalability issues (e.g., routing and communications costs) in large WSNs. Thus, this class of WSN is potentially viewed as the most energy-efficient and long-lived class of sensor network [7].…”

Section: Introductionmentioning

confidence: 99%

Entropy-based Correlation Clustering for Wireless Sensor Networks in Multi-Correlated Regional Environments

Nga¹,

Khanh²,

Hong³

2016

IEIE Transactions on Smart Processing and Computing

View full text Add to dashboard Cite

Abstract:The existence of correlation characteristics brings significant potential advantages to the development of efficient routing protocols in wireless sensor networks. This research proposes a new simple method of clustering sensor nodes into correlation groups in multiple-correlation areas. At first, the evaluation of joint entropy for multiple-sensed data is considered. Based on the evaluation, the definition of correlation region, based on entropy theory, is proposed. Following that, a correlation clustering scheme with less computation is developed. The results are validated with a real data set.

show abstract

Wireless Sensor Networks: To Cluster or Not To Cluster?

Cited by 99 publications

References 9 publications

EEICCP—Energy Efficient Protocol for Wireless Sensor Networks

EEICCP—Energy Efficient Protocol for Wireless Sensor Networks

Adaptive Communication Techniques for the Internet of Things

Entropy-based Correlation Clustering for Wireless Sensor Networks in Multi-Correlated Regional Environments

Contact Info

Product

Resources

About