Advertisement

ER-Agent Communication Languages and Protocol for Large-Scale Emergency Responses

  • Mohd Khairul Azmi HassanEmail author
  • Yun-Heh Chen-Burger
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 96)

Abstract

In this paper, we introduce a new agent communication language (ER-ACL) and a corresponding protocol (ER-ACP) to be used in multi-agent systems (MAS) to assist large-scale emergency responses as a part of an Emergency Response Communication Framework. In the previous study of ACL, we found them lack the necessary richness to support communication during a large-scale disaster, inc. structure, semantics and user models. This inspired us to create a new ER-ACL to fulfil this gap. Four types of agents are supported in ER-ACL: victims, carers (medical & social workers), families & friends, and ER-rescuers & helpers (members of the public, NGOs, government agencies, etc.). The advantages of ER-ACL and ER-ACP are that they provide a well-defined foundation to connect victims with potential helpers, thereby enabling crowdsourcing via effective communication based on precise semantics. The ER-ACL represents a significant extension and specialisation of the FIPA ACL for applications in emergency response scenarios now that great technical advances have been made in telecommunication (including image and video reporting). We have also added many new message constructs from the Common Alerting Protocol. In today’s uncertain world, we believe a well-managed and personalised communication system is vital to organise unstructured/opportunistic resources to save lives. Not having found one in existence to-date, we hope our efforts can help close this gap.

Keywords

Agent communication language and protocol Emergency response Mobile agents Large-scale disaster rescue 

References

  1. 1.
    Hassan, M.K.A., Chen-Burger,Y.-H.: Communication and tracking ontology development for civilians earthquake disaster assistance. In: Proceedings of ISCRAM 2016 Conference – Rio Janeiro, Brazil, May 2016 Tapia, May 2016Google Scholar
  2. 2.
    Sharmeen, Z., Martinez-Enriquez, A.M., Aslam, M., Syed, A.Z., Waheed, T.: Multi agent system based interface for natural disaster. In: Ślȩzak, D., Schaefer, G., Vuong, Son T., Kim, Y.-S. (eds.) AMT 2014. LNCS, vol. 8610, pp. 299–310. Springer, Cham (2014).  https://doi.org/10.1007/978-3-319-09912-5_25CrossRefGoogle Scholar
  3. 3.
    Costin, B., Scafes, M., Ilie, S., Badica, A., Muscar, A.: Dynamic Negotiations in Multi-Agent Systems. ICT Educ. Res. (2011)Google Scholar
  4. 4.
    Juneja, D., Jagga, A., Singh, A.: A review of FIPA standardized agent communication language and interaction protocols. J. Netw. Commun. Emerg. Technol. 5(2), 179–191 (2015)Google Scholar
  5. 5.
    Chopra, A., Singh, M.P.: Agent Communication. Multiagent Syst. Mod. Approach Distrib. Artif. Intell. 101–141 (2013)Google Scholar
  6. 6.
    Westfall, J.: Common Alerting Protocol Version 1.2, pp. 1–47, July 2010Google Scholar
  7. 7.
    Nishiyama, H., Ito, M., Kato, N.: Relay-by-smartphone: realizing multihop device-to-device communications. IEEE Commun. Mag. 52(4), 56–65 (2014)CrossRefGoogle Scholar
  8. 8.
    Sheikh, A.A., Ganai, P.T., Malik, N.A., Dar, K.A.: Smartphone: ANDROID vs IOS. SIJ Trans. Comput. Sci. Eng. Appl. 1(4), 141–148 (2013)Google Scholar
  9. 9.
    Foundation for Intelligent Physical Agent: FIPA ACL message structure specification. IEEE Comput. Soc. p. 1 (2002)Google Scholar
  10. 10.

Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  • Mohd Khairul Azmi Hassan
    • 1
    Email author
  • Yun-Heh Chen-Burger
    • 1
  1. 1.Department of Computer ScienceHeriot-Watt UniversityEdinburghUK

Personalised recommendations