Minimizing energy consumption within wireless sensors networks using optimal transmission range between nodes

Shebli, F.; Dayoub, Iyad; m’foubat, A. Okassa; Rivenq, Atika; Rouvaen, J.M.

doi:10.1109/icspc.2007.4728266

Cited by 23 publications

(17 citation statements)

References 12 publications

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“…Since the early work at the Auto-ID Center at the Massachusetts Institute of Technology, the technical discussion on the Internet of Things has gained momentum in various directions, including ambient intelligence [7] [8], human-computer interaction [9], and smart cities [10]. The development of the Internet of Things is accompanied by a stream of technical literature on wireless sensor networks [11] [12] [13] [14] and closely related fields such as sensor technologies [15], wireless communication [16], layered architectures of digital technology [17] as well as energy consumption, supply, and harvesting [18] [19] [20]. Many technical publications scratch economic opportunities, but do so usually only in the motivation section of their work.…”

Section: The Internet Of Things In Marketing Managementmentioning

confidence: 99%

Marketing Management for Consumer Products in the Era of the Internet of Things

Decker¹,

Stummer²

2017

AIT

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In the Internet of Things (IoT) consumer products like coffee machines and smoke detectors are connected with the Internet, which effectively expands the Internet to the physical world. Such products have the ability to collect and share data from the user's environment and, thus, their broad emergence will affect well-established concepts presented in the extant marketing literature. In order to provide a distinct contribution, we focus on customer relationship management, product life cycle management, as well as business model development and discuss implications of the enhanced capabilities of IoT products in these fields. By means of an extensive analysis of current developments in theory and practice, we systematically deduce ten research propositions. The paper concludes with a synthesis of findings and an outlook to promising directions for further research in IoT-oriented marketing management.

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Section: The Internet Of Things In Marketing Managementmentioning

confidence: 99%

Marketing Management for Consumer Products in the Era of the Internet of Things

Decker¹,

Stummer²

2017

AIT

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“…For individual sensors sense data and transmit to cluster heads (CH) using single hops as in [11]. Here we assume that all sensor nodes within a cluster use time division multiple access (TDMA) to access their CH.…”

Section: Comparison Into Energy Consumptionmentioning

confidence: 99%

Proficient Energy Consumption Aware Model in Wireless Sensor Network

Bhadoria

Tomar

Kang³

2014

IJMUE

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“…[3], [5], [7], [12], [14], [15], [17] and [18] which is a less realistic scenario. The authors in [5] analyzed energy consumption in both equal-and adjustable-grid models.…”

Section: Copyright C 2013 the Institute Of Electronics Information Amentioning

confidence: 99%

Increasing Lifetime of a Two-Dimensional Wireless Sensor Network Using Radio Range Adjustments

Tavakoli

Naderi

2013

IEICE Trans. Inf. & Syst.

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Hamidreza TAVAKOLI†a) , Student Member and Majid NADERI †b) , Nonmember SUMMARYOptimizing lifetime of a wireless sensor network has received considerable attention in recent years. In this paper, using the feasibility and simplicity of grid-based clustering and routing schemes, we investigate optimizing lifetime of a two-dimensional wireless sensor network. Thus how to determine the optimal grid sizes in order to prolong network lifetime becomes an important problem. At first, we propose a model for lifetime of a grid in equal-grid model. We also consider that nodes can transfer packets to a grid which is two or more grids away in order to investigate the trade-off between traffic and transmission energy consumption. After developing the model for an adjustable-grid scenario, in order to optimize lifetime of the network, we derive the optimal values for dimensions of the grids. The results show that if radio ranges are adjusted appropriately, the network lifetime in adjustable-grid model is prolonged compared with the best case where an equal-grid model is used. key words: wireless sensor networks (WSNs), radio range adjustment, network lifetime, energy consumption, grid lifetime IntroductionWireless sensor nodes have emerged as a result of recent advances in Micro-Electro-Mechanical Systems (MEMS) technology which results in low power transceiver design and wireless sensor technology. These nodes can form a network in an ad hoc fashion and are electrically powered by only one or two small batteries. It is infeasible to replace batteries of nodes due to the large number of nodes and possibly harsh terrain and hostile environment in which they are deployed. Therefore, the most important problem in these networks is to perform its operations in an efficient manner to prolong their lifetimes. According to different application scenarios, the network lifetime can be defined as the time duration before 1) the first node dies, 2) the power of a certain percentage of active nodes drops below a threshold or 3) a loss of coverage occurs in the network due to mobility or failure of some nodes [8]. In this paper, we assume network lifetime is time span from the instant when the network is deployed to the instant when the first grid dies i.e. the power of all sensor nodes in the grid drops below a threshold.There are two major communication techniques for transmitting data from a source to a sink: single-hop communication and multi-hop communication [4]. In multi-hop communications, nodes next to sink nodes have to relay much more traffic than far from sink ones because in addi- tion to their own traffic, they have to relay other nodes' traffic. Therefore, the energy dissipation speed of these nodes is greater than that of the other nodes, and their batteries deplete more rapidly. However, in single-hop communications, nodes far from sink experience high energy drainage because of higher distances. Hence, this highly non-uniform energy usage causes some sensors to die earlier than others resulting in severe degradation of n...

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Minimizing energy consumption within wireless sensors networks using optimal transmission range between nodes

Cited by 23 publications

References 12 publications

Marketing Management for Consumer Products in the Era of the Internet of Things

Marketing Management for Consumer Products in the Era of the Internet of Things

Proficient Energy Consumption Aware Model in Wireless Sensor Network

Increasing Lifetime of a Two-Dimensional Wireless Sensor Network Using Radio Range Adjustments

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