From radio telemetry to ultra-low-power sensor networks: tracking bats in the wild

Dressler, Falko; Ripperger, Simon; Hierold, Martin; Nowak, Thorsten; Eibel, Christopher; Cassens, Björn; Mayer, Frieder; Meyer-Wegener, Klaus; Koelpin, Alexander

doi:10.1109/mcom.2016.7378438

“…Recent advancements in proximity logging technology have incorporated indirect geo-referencing of animal contacts (see Table 1). In particular, Encounternet [12] and BATS [20] are WSN systems that infer spatial contextualization of proximity patterns by post-processing, and specifically by estimating the distance between mobile loggers worn by individuals, and fixed loggers deployed in the study area. In this scenario, the geo-referencing of proximity patterns essentially depends on the spatial overlap between a network of fixed loggers and animal movements, i.e.…”

Section: Introductionmentioning

confidence: 99%

Understanding and geo-referencing animal contacts: proximity sensor networks integrated with GPS-based telemetry

Ossi

¹

,

Focardi

²

,

Picco

³

et al. 2016

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Background:In animal ecology, inter-individual encounters are often investigated using automated proximity loggers. However, data acquired are typically spatially implicit, i.e. the question 'Where did the contact occur?' remains unanswered. To resolve this issue, recent advancements in Wireless Sensor Network technology have facilitated the geo-referencing of animal contacts. Among these, WildScope devices integrate GPS-based telemetry within fully distributed networks, allowing contact-triggered GPS location acquisition. In this way, the ecological context in which contacts occur can be assessed. We evaluated the performance of WildScope in close-to-real settings, whilst controlling for movement of loggers and obstacles, performing field trials that simulated: (1) different scenarios of encounters between individuals (mobile-mobile contacts) and (2) patterns of individual focal resource use (mobilefixed contacts). Each scenario involved one to three mobile and two fixed loggers and was replicated at two different radio transmission powers. For each scenario, we performed and repeated a script of actions that corresponded to expected contact events and contact-triggered GPS locations. By comparing expected and observed events, we obtained the success rate of: (1) contact detection and (2) contact-triggered GPS location acquisition. We modelled these in dependence on radio power and number of loggers by means of generalized linear mixed models. Results:Overall we found a high success rate of both contact detection (88-87%: power 3 and 7) and contacttriggered GPS location acquisition (85-97%: power 3 and 7). The majority of errors in contact detection were false negatives (66-69%: power 3 and 7). Number of loggers was positively correlated with contact success rate, whereas radio power had little effect on either variable. Conclusions:Our work provides an easily repeatable approach for exploring the potential and testing the performance of WildScope GPS-based geo-referencing proximity loggers, for studying both animal-to-animal encounters and animal use of focal resources. However, our finding that success rate did not equal 100%, and in particular that false negatives represent a non-negligible proportion, suggests that validation of proximity loggers should be undertaken in close-to-real settings prior to field deployment, as stochastic events affecting radio connectivity (e.g. obstacles, movement) can bias proximity patterns in real-life scenarios.

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“…For the CBM strategy, we calculate the utility value of the message and its negative correlation according to Equations (1) and (2), and calculate the utility value of the node according to Equation (3). When the nodes randomly contact with other nodes and exchange messages, the nodes update the message information table, and the utility value of the node changes.…”

Section: Overall Performancementioning

confidence: 99%

“…With the rapid development of wireless communication technology, as well as the widespread popularity of communication equipment, the applications of MON are extended significantly from disaster recovery networks [2], wildlife tracking networks [3], and interplanetary networks [4] to mobile vehicle networks [5].…”

Section: Introductionmentioning

confidence: 99%

A Combinational Buffer Management Scheme in Mobile Opportunistic Network

Yuan

¹

,

Yu

²

2017

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Nodes in Mobile Opportunistic Network (MON) have to cache packets to deal with the intermittent connection. The buffer management strategy obviously impacts the performance of MON, and it attracts more attention recently. Due to the limited storage capacity of nodes, traditional buffer management strategies just drop messages based on the property of message, and they neglect the collaboration between neighbors, resulting in an ineffective performance improvement. Therefore, effective buffer management strategies are necessary to ensure that each node has enough buffer space to store the message when the node buffer is close to congestion. In this paper, we propose a buffer management strategy by integrating the characteristics of messages and nodes, and migrate the redundant messages to the neighbor to optimize the total utility, instead of deleting them. The simulation experiment results show that it can obviously improve the delivery ratio, the overhead ratio and the average delays, and reduce the amount of hops compared with the traditional ones.

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“…Mobile Opportunistic Network (MON) [1] is a special kind of ad hoc network that uses the node mobility to transfer packets and becomes more popular in recent years. With the rapid development of wireless communication technology, as well as the widespread popularity of communication equipment, the applications of MON are extended significantly from disaster recovery networks [2], wildlife tracking networks [3], and interplanetary networks [4] to mobile vehicle networks [5]. However, due to intermittent connection and unstable links between nodes, it adopts a storing-carrying-forwarding paradigm to communicate and forward messages through a hop-by-hop style.…”

Section: Introductionmentioning

confidence: 99%

A Combinational Buffer Management Scheme in Mobile Opportunistic Network

Ambala¹,

Ambala²,

Ambala³

2017

IJTSRD

1

0

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Nodes in Mobile Opportunistic Network (MON) have to cache packets to deal with the intermittent connection. The buffer management strategy obviously impacts the performance of MON, and it attracts more attention recently. Due to the limited storage capacity of nodes, traditional buffer management strategies just drop messages based on the property of message, and they neglect the collaboration between neighbors, resulting in an ineffective performance improvement. Therefore, effective buffer management strategies are necessary to ensure that each node has enough buffer space to store the message when the node buffer is close to congestion. In this paper, we propose a buffer management strategy by integrating the characteristics of messages and nodes, and migrate the redundant messages to the neighbor to optimize the total utility, instead of deleting them. The simulation experiment results show that it can obviously improve the delivery ratio, the overhead ratio and the average delays, and reduce the amount of hops compared with the traditional ones.

show abstract

From radio telemetry to ultra-low-power sensor networks: tracking bats in the wild

Cited by 58 publications

References 12 publications

Understanding and geo-referencing animal contacts: proximity sensor networks integrated with GPS-based telemetry

Understanding and geo-referencing animal contacts: proximity sensor networks integrated with GPS-based telemetry

A Combinational Buffer Management Scheme in Mobile Opportunistic Network

A Combinational Buffer Management Scheme in Mobile Opportunistic Network

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