Reliable SPIN in Wireless Sensor Network

Grover, Jitender; Sharma, Mohit; Shikha,

doi:10.1109/icrito.2014.7014694

Cited by 19 publications

(8 citation statements)

References 11 publications

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“…The comparison results were listed based on various parameters (scalability, mobility, power required, energy efficiency, and so on). A reliable SPIN protocol was presented by utilizing the selective forwarding to increase the data delivery radio in [ 41 ]. When some packets were unacknowledged by the source node, the source node would forward them again.…”

Section: Related Workmentioning

confidence: 99%

A Smart Collaborative Routing Protocol for Reliable Data Diffusion in IoT Scenarios

Zhou

Song

2018

Sensors

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It is knotty for current routing protocols to meet the needs of reliable data diffusion during the Internet of Things (IoT) deployments. Due to the random placement, limited resources and unattended features of existing sensor nodes, the wireless transmissions are easily exposed to unauthorized users, which becomes a vulnerable area for various malicious attacks, such as wormhole and Sybil attacks. However, the scheme based on geographic location is a suitable candidate to defend against them. This paper is inspired to propose a smart collaborative routing protocol, Geographic energy aware routing and Inspecting Node (GIN), for guaranteeing the reliability of data exchanging. The proposed protocol integrates the directed diffusion routing, Greedy Perimeter Stateless Routing (GPSR), and the inspecting node mechanism. We first discuss current wireless routing protocols from three diverse perspectives (improving transmission rate, shortening transmission range and reducing transmission consumption). Then, the details of GIN, including the model establishment and implementation processes, are presented by means of the theoretical analysis. Through leveraging the game theory, the inspecting node is elected to monitor the network behaviors. Thirdly, we evaluate the network performances, in terms of transmission delay, packet loss ratio, and throughput, between GIN and three traditional schemes (i.e., Flooding, GPSR, and GEAR). The simulation results illustrate that the proposed protocol is able to outperform the others.

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Section: Related Workmentioning

confidence: 99%

A Smart Collaborative Routing Protocol for Reliable Data Diffusion in IoT Scenarios

Zhou

Song

2018

Sensors

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“…However, and as presented previously hypervisor (In our case Xen Hypervisor) uses software channel to create bridge and in order to link virtual machines. In fact, software channels isolation is easy to be broken [6].…”

Section: Table 1 Security Attributs Affected By Network Attacksmentioning

confidence: 99%

A New Secure Network Architecture to Increase Security Among Virtual Machines in Cloud Computing

Elmrabet¹,

Elghazi²,

Sadiki³

et al. 2016

Lecture Notes in Electrical Engineering

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Cloud computing is a new model of computing which provides scalability, flexibility and on-demand service. Virtualization is one of the main components of the cloud, but unfortunately this technology suffers from many security vulnerabilities. The main purpose of this paper is to present a new secure architecture of Virtual Network machines in order to increase security among virtual machines in a virtualized environment (Xen as a case study). First, we expose the different network modes based on Xen Hypervisor, and then we analyses vulnerabilities and security issues within these kind of environment. Finally, we present in details new secure architecture and demonstrate how it can face the main security network attacks.

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“…Overview This paper proposes a method i.e. mobile sink energy efficient data gathering for WSNs [20][21][22][23]. This technique designs a tree structure network and perform data gathering [24][25][26][27] with mobile sink, in detail it discussed below.…”

Section: System Modelmentioning

confidence: 99%

MA Assisted and Restrained Sink Mobility based Economical Data Processing in WSNs: MARS

Katiyar¹

2016

IOSR

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Wireless Sensor Network (WSN) is composed of large number of tiny sensor node which have sensing and computation ability. In past WSNs, lots of Data Aggregation scheme has been proposed for prolong network lifetime and eliminate data redundancy. In general sink collects data from all deployed nodes in single processing cycle but region critical WSNs and long communication distance between nodes and sink demands a scheme which process data region wise. The presented scheme adopts sink mobility for region critical data gathering and avails Mobile Agent (MA) for prolonging network lifetime. This paper proposes MA assisted and Restrained Sink mobility based economical data processing in WSNs i.e. MARS. The proposed scheme works for sink trajectory as well as for Data Aggregation. Our simulation result shows that MARS utilizes networks' energy efficiently and prolongs Sensor Network lifetime.

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Reliable SPIN in Wireless Sensor Network

Cited by 19 publications

References 11 publications

A Smart Collaborative Routing Protocol for Reliable Data Diffusion in IoT Scenarios

A Smart Collaborative Routing Protocol for Reliable Data Diffusion in IoT Scenarios

A New Secure Network Architecture to Increase Security Among Virtual Machines in Cloud Computing

MA Assisted and Restrained Sink Mobility based Economical Data Processing in WSNs: MARS

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