Andrew Arnold, Paul Corapi, Michael Nasta, Kevin Wolgast, Thomas A. Babbitt
{"title":"用于野生动物保护的树莓派传感器网络","authors":"Andrew Arnold, Paul Corapi, Michael Nasta, Kevin Wolgast, Thomas A. Babbitt","doi":"10.1145/3384217.3384220","DOIUrl":null,"url":null,"abstract":"Scientists and the military require inconspicuous means to monitor wildlife. In this poster, we progress the ability for a Raspberry Pi sensor network to be used for wildlife detection and monitoring. Eliminating the need for expensive commercial camera traps, the sensor network will, with little to no human interaction, detect and collect vital information about the presence of endangered wildlife. Raspberry Pi sensor nodes collect and store data and transfer it over a mesh network to an android app interface. In order to reduce the node size and maintain battery efficiency, we are implementing parallel battery usage and standard lithium batteries. We will also increase the range, durability, and adaptability of the network by integrating a self-healing mesh network that does not require a master node for communication to and from individual sensors.","PeriodicalId":205173,"journal":{"name":"Proceedings of the 7th Symposium on Hot Topics in the Science of Security","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A raspberry Pi sensor network for wildlife conservation\",\"authors\":\"Andrew Arnold, Paul Corapi, Michael Nasta, Kevin Wolgast, Thomas A. Babbitt\",\"doi\":\"10.1145/3384217.3384220\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Scientists and the military require inconspicuous means to monitor wildlife. In this poster, we progress the ability for a Raspberry Pi sensor network to be used for wildlife detection and monitoring. Eliminating the need for expensive commercial camera traps, the sensor network will, with little to no human interaction, detect and collect vital information about the presence of endangered wildlife. Raspberry Pi sensor nodes collect and store data and transfer it over a mesh network to an android app interface. In order to reduce the node size and maintain battery efficiency, we are implementing parallel battery usage and standard lithium batteries. We will also increase the range, durability, and adaptability of the network by integrating a self-healing mesh network that does not require a master node for communication to and from individual sensors.\",\"PeriodicalId\":205173,\"journal\":{\"name\":\"Proceedings of the 7th Symposium on Hot Topics in the Science of Security\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-08-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 7th Symposium on Hot Topics in the Science of Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3384217.3384220\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 7th Symposium on Hot Topics in the Science of Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3384217.3384220","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A raspberry Pi sensor network for wildlife conservation
Scientists and the military require inconspicuous means to monitor wildlife. In this poster, we progress the ability for a Raspberry Pi sensor network to be used for wildlife detection and monitoring. Eliminating the need for expensive commercial camera traps, the sensor network will, with little to no human interaction, detect and collect vital information about the presence of endangered wildlife. Raspberry Pi sensor nodes collect and store data and transfer it over a mesh network to an android app interface. In order to reduce the node size and maintain battery efficiency, we are implementing parallel battery usage and standard lithium batteries. We will also increase the range, durability, and adaptability of the network by integrating a self-healing mesh network that does not require a master node for communication to and from individual sensors.