Interconnection between IP Networks and Wireless Sensor Networks

Maharrey, Brandon; Lim, Alvin; Gao, Song

doi:10.1155/2012/567687

Cited by 9 publications

(3 citation statements)

References 33 publications

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“…Any communication-compatible device can serve as a gateway. Different from the work 22 that connects the wireless sensor network with the IP network via complicated protocols, CoCoMo does not carry heavy and diverse sensing tasks, and it only uses the gateway to complete the data and command switching between front-end sensor network and the end user, thereby significantly decreasing the cost of system maintenance.…”

Section: Overviewmentioning

confidence: 99%

CoCoMo: Toward controllable and reliable corrosion monitoring with a wireless sensor network

Sun

Yang

Guo

2017

International Journal of Distributed Sensor Networks

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Corrosion monitoring is highly needed in concrete-steel civil engineering applications. By the corrosion information captured from structures, field experts can deduce where the corrosion events occur and how they will possibly evolve. However, traditional approaches are either based on high-cost manual operations or unable to support user's control once the data collection starts. This article presents a corrosion-monitoring framework, called CoCoMo, based on embedded sensing and wireless networking technologies, aimed at achieving long-term and controllable corrosion monitoring. CoCoMo involves corrosion-detecting devices, well-designed wireless networking protocols, and the visual user interface which not only displays collected corrosion data but also serves as command-issuing agent. We finally build a small-scale test-bed to evaluate the feasibility and the transmission reliability of CoCoMo.

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Section: Overviewmentioning

confidence: 99%

CoCoMo: Toward controllable and reliable corrosion monitoring with a wireless sensor network

Sun

Yang

Guo

2017

International Journal of Distributed Sensor Networks

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“…The protocols must be able to transmit the primary information and drop the others. In addition, in order to make the TCP/IP optimized, the protocols should be made energy efficient [35].…”

Section: • Dedicated Bandwidthmentioning

confidence: 99%

Mobility management for IoT: a survey

Ghaleb

Subramaniam

Zukarnain

et al. 2016

J Wireless Com Network

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Internet of Thing (IoT) or also referred to as IP-enabled wireless sensor network (IP-WSN) has become a rich area of research. This is due to the rapid growth in a wide spectrum of critical application domains. However, the properties within these systems such as memory size, processing capacity, and power supply have led to imposing constraints on IP-WSN applications and its deployment in the real world. Consequently, IP-WSN is constantly faced with issues as the complexity further rises due to IP mobility. IP mobility management is utilized as a mechanism to resolve these issues. The management protocols introduced to support mobility has evolved from host-based to network-based mobility management protocols. The presence of both types of solutions is dominant but depended on the nature of systems being deployed. The mobile node (MN) is involved with the mobility-related signaling in host-based protocols, while network-based protocols shield the host by transferring the mobility-related signaling to the network entities. The features of the IoT are inclined towards the network-based solutions. The wide spectrum of strategies derived to achieve enhanced performance evidently displays superiority in performance and simultaneous issues such as long handover latency, intense signaling, and packet loss which affects the QoS for the real-time applications. This paper extensively reviews and discusses the algorithms developed to address the challenges and the techniques of integrating IP over WSNs, the attributes of mobility management within the IPv4 and IPv6, respectively, and special focus is given on a comprehensive review encompassing mechanisms, advantages, and disadvantages on related work within the IPv6 mobility management. The paper is concluded with the proposition of several pertinent open issues which are of high research value.

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“…Examples include office building environment control, wild-life habitat monitoring, smart spaces, medical systems, robotic exploration, alarm systems, forest fire detection, and monitoring of volcanic eruptions. For such applications, the sensor networks cannot operate in complete isolation; they must be connected to fixed network [ 1 , 2 ]. By connecting the sensor network to fixed network infrastructure such as the global internet, remote access to the sensor network is possible.…”

Section: Introductionmentioning

confidence: 99%

Prolonging the Lifetime of Wireless Sensor Networks Interconnected to Fixed Network Using Hierarchical Energy Tree Based Routing Algorithm

Kalpana¹,

Dhanalakshmi

Parthiban

2014

The Scientific World Journal

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This research work proposes a mathematical model for the lifetime of wireless sensor networks (WSN). It also proposes an energy efficient routing algorithm for WSN called hierarchical energy tree based routing algorithm (HETRA) based on hierarchical energy tree constructed using the available energy in each node. The energy efficiency is further augmented by reducing the packet drops using exponential congestion control algorithm (TCP/EXP). The algorithms are evaluated in WSNs interconnected to fixed network with seven distribution patterns, simulated in ns2 and compared with the existing algorithms based on the parameters such as number of data packets, throughput, network lifetime, and data packets average network lifetime product. Evaluation and simulation results show that the combination of HETRA and TCP/EXP maximizes longer network lifetime in all the patterns. The lifetime of the network with HETRA algorithm has increased approximately 3.2 times that of the network implemented with AODV.

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Interconnection between IP Networks and Wireless Sensor Networks

Cited by 9 publications

References 33 publications

CoCoMo: Toward controllable and reliable corrosion monitoring with a wireless sensor network

CoCoMo: Toward controllable and reliable corrosion monitoring with a wireless sensor network

Mobility management for IoT: a survey

Prolonging the Lifetime of Wireless Sensor Networks Interconnected to Fixed Network Using Hierarchical Energy Tree Based Routing Algorithm

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