Application-Based Optimization of Multi-Level Clustering in Ad Hoc and Sensor Networks

Phanish, Deepa; Coyle, Eugene

doi:10.1109/twc.2017.2699175

Cited by 19 publications

(10 citation statements)

References 57 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Adoption of the evolutionary-based algorithm for carrying out optimization has been witnessed in the work of Viani et al 24 The study is more focused on analyzing the usage of power patterns in applications of WSN. A similar pattern of application-specific clustering approach was also seen in the work of Phanish and Coyle 25 where a multihop-based hierarchical scheme has been used for controlling the communication cost of WSN. Sun et al 26 have presented a study towards energy optimization in WSN using beam-forming concept.…”

Section: Related Workmentioning

confidence: 72%

“…Therefore, their sustenance to continue with maximum operational rounds of data aggregation can never be guaranteed by such approaches. Approaches such as in previous studies 25,28,[30][31][32][33][34][35]38,39 have claimed of optimizing clustering performance by introducing a cluster head selection process; however, such selection process does not prove the longevity of cluster head operation in case of random dispersal of cluster head. • Few studies towards topology control: Any new and unique process introduced in clustering also affects the topology.…”

Section: Research Problemmentioning

confidence: 99%

See 1 more Smart Citation

Interstellar‐based topology control scheme for optimal clustering performance in WSN

Jyothi

Usha

2020

Int J Communication

View full text Add to dashboard Cite

Summary Clustering is one of the essential operations in wireless sensor network (WSN) to ensure organized data aggregation followed by energy efficiency. However, obtaining optimal clustering performance is yet an unsolved problem in WSN. Review of existing approaches towards cluster optimization shows that effective balance between energy efficiency and topology control is still missing. Therefore, the proposed system presents a unique topology control mechanism using a novel concept of interstellar orientation toward optimizing the clustering performance in WSN. Adopting an analytical research methodology, the proposed system introduces two interstellar‐based topology control system, which targets the maximum saving of resource consumption of the cluster head. The simulated outcome of the study shows that the proposed topology control system offers significant energy conservation performance in comparison to the existing hierarchical clustering scheme in WSN.

show abstract

Section: Related Workmentioning

confidence: 72%

Section: Research Problemmentioning

confidence: 99%

Interstellar‐based topology control scheme for optimal clustering performance in WSN

Jyothi

Usha

2020

Int J Communication

View full text Add to dashboard Cite

show abstract

“…A low power required overlapping clusterization protocol known as EEAOC in regular checking of applications in WSNs, here a 2-intelligent inclusion overlapping clusterization methods are used so that neighboring sensing points in the occasion region can be gathered into a similar group for information combination. Moreover, hybrid information announcing procedure is considered to additionally diminish power utilization 28) .…”

Section: Heterogeneous Sensor Systemsmentioning

confidence: 99%

Qualitative Analysis of Intra-Class and Inter-Class Clustering Routing and Clusterization in Wireless Sensor Network

Mishra¹,

Priyadarshini²,

Choudhary³

et al. 2021

Evergreen

View full text Add to dashboard Cite

A wireless sensor network is a group of large number of nodes which are randomly deployed in a specific area. This deployment of nodes is in form of number of clusters. The main purpose of these nodes is to sense the surrounding condition like temperature, humidity etc. and send it to the central processing unit through the intermediate nodes following some routing protocol. The main concern here is the energy consumption by these nodes during the data communication as these nodes are equipped with non-rechargeable batteries. Currently much of the research is going on to design such routing protocol which can make the network energy efficient or to increase the lifetime of network. This paper provides a comparative review of clusterization and routing algorithms provided in the different literatures for wireless sensor network. Comparison was carried out on the basis of node density, types of nodes connectivity, network coverage area and cluster head selection probability.

show abstract

“…In [9], single hop communication is applied to minimize energy consumption at cluster level by creating an optimal data collecting chain based on the fact that node's energy capacity is rather limited and the communication overhead is proportional to the transmission distance. However, the energy hole problem incurs lower performance of WSNs at global level for data collection, which could be circumvented through an application-based optimization of multi-level clustering algorithm proposed in [19].…”

Section: Related Workmentioning

confidence: 99%

“…Ranking the sequence { E i+1 − E i } at time t, we could get a relay selection strategy min Theorem 3: The marginal utility function satisfying inequality (19) is stable.…”

Section: Definition 4 (Marginal Utility Function): a Utility Functionmentioning

confidence: 99%

Cooperative Relay Selection for Load Balancing With Mobility in Hierarchical WSNs: A Multi-Armed Bandit Approach

2020

View full text Add to dashboard Cite

Energy efficiency is the major concern in hierarchical wireless sensor networks(WSNs), where the major energy consumption originates from radios for communication. Due to notable energy expenditure of long-range transmission for cluster members and data aggregation for Cluster Head (CH), saving and balancing energy consumption is a tricky challenge in WSNs. In this paper, we design a CH selection mechanism with a mobile sink (MS) while proposing relay selection algorithms with multiuser multi-armed bandit (UM-MAB) to solve the problem of energy efficiency. According to the definition of node density and residual energy, we propose a conception referred to as a Virtual Head (VH) for MS to collect data in terms of energy efficiency. Moreover, we naturally change the relay selection problem into permutation problem through employing the two-hop transmission in cooperative power line communication, which deals with long-distance transmission. As far as the relay selection problem is concerned, we propose the machine learning algorithm, namely MU-MAB, to solve it through the reward associated with an increment for energy consumption. Furthermore, we employ the stable matching theory based on marginal utility for the allocation of the final one-to-one optimal combinations to achieve energy efficiency. In order to evaluate MU-MAB, the regret is taken advantage to demonstrate the performance by using upper confidence bound (UCB) index. In the end, simulation results illustrate the efficacy and effectiveness of our proposed solutions for saving and balancing energy consumption.

show abstract

Application-Based Optimization of Multi-Level Clustering in Ad Hoc and Sensor Networks

Cited by 19 publications

References 57 publications

Interstellar‐based topology control scheme for optimal clustering performance in WSN

Interstellar‐based topology control scheme for optimal clustering performance in WSN

Qualitative Analysis of Intra-Class and Inter-Class Clustering Routing and Clusterization in Wireless Sensor Network

Cooperative Relay Selection for Load Balancing With Mobility in Hierarchical WSNs: A Multi-Armed Bandit Approach

Contact Info

Product

Resources

About