An Asynchronous Dual Radio Opportunistic Beacon Network Protocol for Wildlife Monitoring System

Ayele, Eyuel D.; Meratnia, Nirvana; Havinga, Paul J.M.

doi:10.1109/ntms.2019.8763854

Cited by 10 publications

(7 citation statements)

References 12 publications

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“…To get more accurate EV values, the EBR protocol uses the concept of the exponentially weighted moving average. If CW stands for the current window, which is the number of encounters within the current time interval, EV is periodically recalculated using equation (5).…”

Section: Ebr Routing Protocolmentioning

confidence: 99%

“…After that, the DTN concepts grew to cover other types of networks. As examples of DTN networks we cite: disaster environments [2], under water communications [3], rural remote patient monitoring [4], animal habitat monitoring and network sensors for wildlife tracking [5], vehicular delay tolerant networks (VDTN) [6], surveillance for regions on the earth surface [7] and any network with frequent links disruptions due to environmental features changing. It should be noted that the routing in DTN is more difficult than in MANET.…”

Section: Introductionmentioning

confidence: 99%

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Performance Analysis of Routing Protocols in Resource-Constrained Opportunistic Networks

Ali¹,

Lenando²,

Alrfaay³

et al. 2019

Adv. sci. technol. eng. syst. j.

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Recently, opportunistic networks are considered as one of the most attractive developments of ad hoc mobile networks (MANETs) that have emerged thanks to the development of intelligent devices. Due to the mobility-related instability of the paths between nodes and due to the limited buffer and energy resources, the ultimate objective of routing protocols in opportunistic networks is to enable the exchange of information between users. In such harsh environments, it is difficult to exactly pin down the services provided by these networks. To this end, we present in this paper a study on the performance analysis of six of the most popular routing protocols in opportunistic networks, namely, epidemic, PRoPHET, MaxProp, Spray and Wait, Spray and Focus, and Encounter-Based Routing (EBR). We firstly described these protocols and presented their algorithms. Thereafter, we carried out a comparative study of these protocols using exhaustive performance testing experiments with different numbers of nodes, traffic loads, message lifetime, and buffer size. The results of this investigation are with an important role in helping network designers to improve performance in such challenging networks.

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Section: Ebr Routing Protocolmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Routing Protocols in Resource-Constrained Opportunistic Networks

Ali¹,

Lenando²,

Alrfaay³

et al. 2019

Adv. sci. technol. eng. syst. j.

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show abstract

“…Nodes within opportunistic networks employ a store-carry-forward mechanism for data forwarding, rendering the network mobile, open, and sparse [5]. Presently, opportunistic networks find application in various domains such as wildlife research [6], vehicle networking [7], and post-disaster communications [8]. Concurrently, within human society, individuals utilizing mobile devices imbue these networks with social attributes, thus forming social opportunistic networks [9].…”

Section: Introductionmentioning

confidence: 99%

Research on Secure Community Opportunity Network Based on Trust Model

Su,

Liang

2024

Future Internet

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With the innovation of wireless communication technology and the surge of data in mobile networks, traditional routing strategies need to be improved. Given the shortcomings of existing opportunistic routing strategies in transmission performance and security, this paper proposes a community opportunistic routing decision-making method based on the trust model. This algorithm calculates the node’s trust value through the node’s historical forwarding behavior and then calculates the node’s trust value based on the trust model. Thresholds and trust attenuation divide dynamic security communities. For message forwarding, nodes in the security community are prioritized as next-hop relay nodes, thus ensuring that message delivery is always in a safe and reliable environment. On this basis, better relay nodes are further selected for message forwarding based on the node centrality, remaining cache space, and remaining energy, effectively improving the message forwarding efficiency. Through node trust value and community cooperation, safe and efficient data transmission is achieved, thereby improving the transmission performance and security of the network. Through comparison of simulation and opportunistic network routing algorithms, compared with traditional methods, this strategy has the highest transmission success rate of 81% with slightly increased routing overhead, and this algorithm has the lowest average transmission delay.

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“…Furthermore, there are some aspects that suggest that connectionless BLE, when compared to WiFi, ZigBee/IEEE 802.15.4, and even sub-GHz solutions, can be better suited for small-to-medium network size IoT applications. Firstly, it does not have the scaling issue, which means that theoretically it can effectively communicate data between thousands of devices, and is often proposed as a method for opportunistic data transmission [13,14], monitoring applications [15], and localization systems based on radio signal strength [3,16]. BLE outperforms other 2.4 GHz technologies in terms of energy costs, throughput, and latency [7,17].…”

Section: Introductionmentioning

confidence: 99%

Experimental Evaluation of Advertisement-Based Bluetooth Low Energy Communication

Nikodem

Bawiec

2019

Sensors

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This paper addresses the efficiency of Bluetooth Low Energy (BLE) communication in a network composed of a large number of tags that transmit information to a single hub using advertisement mode. Theoretical results show that the use of advertisements enables hundreds and thousands of BLE devices to coexist in the same area and at the same time effectively transmit messages. Together with other properties (low power consumption, medium communication range, capability to detect a signal’s angle-of-arrival, etc.), this makes BLE a competing technology for the Internet of Things (IoT) applications. However, as the number of communicating devices increases, the advertisement collision intensifies and the communication performance of BLE drops. This phenomena was so far analyzed theoretically, in simulations and in small-scale experiments, but large-scale experiments are not presented in the literature. This paper complements previous results and presents an experimental evaluation of a real IoT-use case, which is the deployment of over 200 tags communicating using advertisements. We evaluate the impact of the number of advertisements on the effective data reception rate and throughput. Despite the advertisement collision rate in our experiment varying between 0.22 and 0.33, we show that BLE, thanks to the multiple transmission of advertisements, can still ensure acceptable data reception rates and fulfill the requirements of a wide range of IoT applications.

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An Asynchronous Dual Radio Opportunistic Beacon Network Protocol for Wildlife Monitoring System

Cited by 10 publications

References 12 publications

Performance Analysis of Routing Protocols in Resource-Constrained Opportunistic Networks

Performance Analysis of Routing Protocols in Resource-Constrained Opportunistic Networks

Research on Secure Community Opportunity Network Based on Trust Model

Experimental Evaluation of Advertisement-Based Bluetooth Low Energy Communication

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