MCP: An Energy-Efficient Code Distribution Protocol for Multi-Application WSNs

Li, Weijia; Zhang, Youtao; Childers, Bruce R.

doi:10.1007/978-3-642-02085-8_19

Cited by 9 publications

(6 citation statements)

References 21 publications

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“…Table 9 reports on the classification of the relevant research efforts according to the sub-domain. [24], [66], [137] Nodes reconfiguration [7], [19], [30], [57], [62], [64], [68], [69], [74], [77], [85], [104], [131], [133], [152] Resources Scaling [4], [33], [35], [36], [53], [58], [89], [90], [116], [122], [129], [134], [135], [140], [148], [153] Load balancing [10], [25], [51], [76], [96], [97], [98], [99], [141] Caching [1], [45], [46], [47], [86], …”

Section: Resources Management At the Edgementioning

confidence: 99%

On the Use of Intelligent Models towards Meeting the Challenges of the Edge Mesh

et al. 2021

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Nowadays, we are witnessing the advent of the Internet of Things (IoT) with numerous devices performing interactions between them or with their environment. The huge number of devices leads to huge volumes of data that demand the appropriate processing. The “legacy” approach is to rely on Cloud where increased computational resources can realize any desired processing. However, the need for supporting real-time applications requires a reduced latency in the provision of outcomes. Edge Computing (EC) comes as the “solver” of the latency problem. Various processing activities can be performed at EC nodes having direct connection with IoT devices. A number of challenges should be met before we conclude a fully automated ecosystem where nodes can cooperate or understand their status to efficiently serve applications. In this article, we perform a survey of the relevant research activities towards the vision of Edge Mesh (EM), i.e., a “cover” of intelligence upon the EC. We present the necessary hardware and discuss research outcomes in every aspect of EC/EM nodes functioning. We present technologies and theories adopted for data, tasks, and resource management while discussing how machine learning and optimization can be adopted in the domain.

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Section: Resources Management At the Edgementioning

confidence: 99%

On the Use of Intelligent Models towards Meeting the Challenges of the Edge Mesh

et al. 2021

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“…Multi cast Code-redistribution Protocol(MCP) [6] provides support for Multi-Application images as required by the sensor nodes. Nodes periodically broadcast advertisement messages for known application, using an application information table built from incoming advertisements.…”

Section: Code Dissemination Protocolsmentioning

confidence: 99%

Mobile agent based secure code update in wireless sensor networks

Nirmala¹,

Manjunath²

2015

2015 International Conference on Information Networking (ICOIN)

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Most of the sensor nodes are battery powered and energy utilization is one of the important criteria. At the same time Securing code update is very much essential for military, health care and environmental applications. But to send the code updates in a distributed, multihop sensor networks, most of the energy will be consumed in forwarding the packets to next hop sensor nodes. In order to avoid this and save energy consumption at sensor nodes, a small number of mobile agents are used to distritbute the code. Mobile agents traverse along the desired path to disseminate the code. Sensor nodes have to authenticate the mobile agent and at the same time they have to check the integrity of the packets. Mobile agents are more vulnerable for adversaries, hence measures are taken to detect the attacks and rectify them. Secure code update using mobile agents provides confidentiality and immediate authentication. This protocol is implemented on Tiny OS platform, tested using Tossim simulator and evaluated the Performance.

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“…In general, legacy dissemination protocols assume an ad-hoc network and use a form of controlled flooding [6]. Epidemic approaches combined with scalable multicasting through which updates are periodically transferred to nodes are another approach (e.g, [42], [45], [27]). Apart from the increased number of messages, one can observe an increased complexity in the resources required for maintaining data related to the management of the updates (e.g., [45], [61], [27], [53] ).…”

Section: Our Idea Contribution and Paper Organizationmentioning

confidence: 99%

“…DHV [12] is an efficient code consistency maintenance protocol that ensures that nodes will, eventually, have the same code. The Multicast-based Code redistribution Protocol (MCP) [45] is another protocol that performs code maintenance. MCP 'forces' every node to maintain a table that contains the information of known applications.…”

Section: Related Workmentioning

confidence: 99%

An efficient scheme for applying software updates in pervasive computing applications

Kolomvatsos

2019

Journal of Parallel and Distributed Computing

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The Internet of Things (IoT) offers a vast infrastructure of numerous interconnected devices capable of communicating and exchanging data. Pervasive computing applications can be formulated on top of the IoT involving nodes that can interact with their environment and perform various processing tasks. Any task is part of intelligent services executed in nodes or the back end infrastructure for supporting end users' applications. In this setting, one can identify the need for applying updates in the software/firmware of the autonomous nodes.Updates are extensions or patches important for the efficient functioning of nodes. Legacy methodologies deal with centralized approaches where complex protocols are adopted to support the distribution of the updates in the entire network. In this paper, we depart from the relevant literature and propose a distributed model where each node is responsible to, independently, initiate and conclude the update process. Nodes monitor a set of metrics related to their load and the performance of the network and through a time-optimized scheme identify the appropriate time to conclude the update process. We report on an infinite horizon optimal stopping model on top of the collected performance data. The aim is to make nodes capable of identifying when their performance and the performance of the network are of high quality to efficiently conclude the update process. We provide specific formulations and the analysis of the * Corresponding author

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MCP: An Energy-Efficient Code Distribution Protocol for Multi-Application WSNs

Cited by 9 publications

References 21 publications

On the Use of Intelligent Models towards Meeting the Challenges of the Edge Mesh

On the Use of Intelligent Models towards Meeting the Challenges of the Edge Mesh

Mobile agent based secure code update in wireless sensor networks

An efficient scheme for applying software updates in pervasive computing applications

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