A minimum cost heterogeneous sensor network with a lifetime constraint

Mhatre, Vivek; Rosenberg, Catherine; Kofman, Daniel; Mazumdar, Ravi R.; Shroff, Ness B.

doi:10.1109/tmc.2005.2

Cited by 292 publications

(11 citation statements)

References 26 publications

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“…Mhatre et al [81] deployed heterogeneous sensor nodes for surveillance. They used two types of nodes with different energy and computational capacity levels.…”

Section: Consmentioning

confidence: 99%

Review of the Effect of Heterogeneity on Wireless Sensor Networks: A Topological Perspective

Banerjee

Mandal

et al. 2023

Preprint

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Wireless sensor networks (WSN) are critical for IoT, smart cities, smart health, and other smart services. Network characteristics such as energy consumption, latency, dependability, and stability have a significant impact on WSN performance. However, the numerous capabilities of the nodes, as well as the adjustment of different properties, result in a heterogeneous network. A proper classification, assessment, and management of this heterogeneity are crucial for a long-term network operation. This article gives a full topological taxonomy of heterogeneity, as well as a detailed discussion on the effect of heterogeneity on many aspects of WSN. Comparative analysis of the effect of heterogeneity on different parameters of network performance establishes the advantage of heterogeneous WSN in modern networks. Different measurement methodologies for the estimation of heterogeneity are included in the paper. Relevance of properly managed heterogeneity in the state-of-the-art technologies are presented as the possible future applications.

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“…Mhatre et al [81] deployed heterogeneous sensor nodes for surveillance. They used two types of nodes with different energy and computational capacity levels.…”

Section: Consmentioning

confidence: 99%

Review of the Effect of Heterogeneity on Wireless Sensor Networks: A Topological Perspective

Banerjee

Mandal

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…In classic sensor networks, all sensor nodes are scheduled to send the obtained information to a single sink node. Though this approach eases the routing work, authors of [38, 39] point out that the nodes which are in vicinity of the sink node bear heavy work load of relaying. As a result, the batteries of these nodes are drained out much earlier than other nodes.…”

Section: A Collaborative Self-governing Privacy-preserving Wsn Architecture For Dynamic Service Discoverymentioning

confidence: 99%

A Collaborative Self-Governing Privacy-Preserving Wireless Sensor Network Architecture Based on Location Optimization for Dynamic Service Discovery in MANET Environment

Gao

Zhang

2015

International Journal of Distributed Sensor Networks

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Due to the characteristics of a MANET, none of the existing solutions for service discovery work well in decentralized mobile environments. In this paper, we propose a collaborative self-governing privacy-preserving wireless sensor network architecture to address the issue of service discovery in MANET environment. The proposed architecture is able to dynamically adjust the working modes between directory-based and directory-less modes according to the network status of a MANET. The dynamic network status of a MANET is monitored by a wireless sensor network. Two location optimization algorithms are developed for topology control and the preservation of user location privacy. Simulation results show that the proposed architecture can greatly improve the performance of service discovery.

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“…For further researches, a heterogeneous network model in term of different initial energies is discussed in [6, 12–14]. In [15], the authors introduced a cluster head election method using fuzzy logic to overcome the defects of LEACH.…”

Section: Related Workmentioning

confidence: 99%

Energy-Efficient Prediction Clustering Algorithm for Multilevel Heterogeneous Wireless Sensor Networks

Peng

Liu

et al. 2013

International Journal of Distributed Sensor Networks

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In designing wireless sensor networks, it is important to reduce energy dissipation and prolong network lifetime. This paper presents research on the existing clustering algorithm applied in heterogeneous sensor networks and then puts forward an energy-efficient prediction clustering algorithm, which is adaptive to sensor networks with energy and objects heterogeneous. This algorithm enables the nodes to select the cluster head according to factors such as energy and communication cost, thus the nodes with higher residual energy have higher probability to become a cluster head than those with lower residual energy, so that the network energy can be dissipated uniformly. In order to reduce energy consumption when broadcasting in clustering phase and prolong network lifetime, an energy consumption prediction model is established for regular data acquisition nodes. Simulation results show that compared with current clustering algorithms, this algorithm can achieve longer sensor network lifetime, higher energy efficiency, and superior network monitoring quality.

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A minimum cost heterogeneous sensor network with a lifetime constraint

Cited by 292 publications

References 26 publications

Review of the Effect of Heterogeneity on Wireless Sensor Networks: A Topological Perspective

Review of the Effect of Heterogeneity on Wireless Sensor Networks: A Topological Perspective

A Collaborative Self-Governing Privacy-Preserving Wireless Sensor Network Architecture Based on Location Optimization for Dynamic Service Discovery in MANET Environment

Energy-Efficient Prediction Clustering Algorithm for Multilevel Heterogeneous Wireless Sensor Networks

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