In this paper, we propose a data propagation method with operator intent delivery in Wireless Sensor Networks (WSNs). The proposed algorithm propagates data by controlling the state of a sensor node depending on the delay requirements of a specific application. Also, the proposed algorithm allows users to interact with the WSNs to convey desired parameter values for the operations. Simulation results indicate that the proposed algorithm achieves reliable data propagation and user intent delivery while saving energy consumption.
A.Bachir, M.Dohler, T.Watteyne and K.K.Leung, MAC essentials for wireless sensor networks, IEEE Communications Surveys & Tutorials12 (2010), 222–248. doi:10.1109/SURV.2010.020510.00058.
2.
S.Bashyal and G.K.Benayagamoorthy, Human swarm interaction for radiation source search and localization, in: IEEE Swarm Intelligence Symposium2008.
3.
H.Byun, A reliable data delivery scheme with delay constraints for wireless sensor networks, Journal of High Speed Networks21 (2015), 195–203. doi:10.3233/JHS-150520.
4.
C.Charalambous and S.Cui, A biologically inspired networking model for wireless sensor networks, IEEE Network24 (2010), 6–13. doi:10.1109/MNET.2010.5464221.
5.
C.Cheng, C.K.Tse and F.C.M.Lau, A bio-inspired scheduling scheme for wireless sensor networks, in: IEEE Vehicular Technology Conference, 2008, pp. 223–227.
6.
P.De, S.K.Das, Y.Gao and D.Zuo, Epidemic Models, Algorithm and Protocols in Wireless Sensor and Ad-hoc Networks, John Wiley & Sons, 2008. doi:10.1002/9780470396360.ch3.
7.
X.C.Ding, M.Powers, M.Egerstedt, S.Young and T.Balch, Executive decision support: Single agent control of multiple UAVs, in: IEEE Robotics and Automation Magazine, 2009.
8.
F.Dressler and O.B.Akan, A survey on bio-inspired networking, Computer Networks54 (2010), 881–900. doi:10.1016/j.comnet.2009.10.024.
9.
M.Goodrich, B.Pendleton, P.Sujit and J.Pinto, Toward human interaction with bio-inspired robot teams, in: Proc. IEEE Int. Conf. Syst. Man, Cybern., 2011, pp. 2859–2864.
10.
Z.J.Haas, J.Y.Halpern and L.Li, Gossip-based ad hoc routing, IEEE/ACM Trans. Networking14 (2006), 479–491. doi:10.1109/TNET.2006.876186.
11.
J.W.Hui and D.Culler, The dynamic behavior of a data dissemination protocol for network programming at scale, in: Int. Conf. Embedded Networked Sensor Systems, 2004.
12.
Z.Kira and M.A.Potter, Exerting human control over decentralized robot swarms, in: Proc. of the Intl, Conf. on Systems, Man, and Cybernetics, 2010.
13.
J.Kulik, W.Rabiner and H.Balakrishnan, Adaptive protocols for information dissemination in wireless sensor networks, in: Proc. the Fifth ACM/IEEE Int. Conf. Mobile Computing and Networking, 1999, pp. 174–184.
14.
S.S.Kulkarni and M.Arumugam, INFUSE: a TDMA based data dissemination protocol for sensor networks, Technical Report MSU-CSE-04-46, Dept. of Computer Science, Michigan State University, 2004.
15.
K.Leibnitz and M.Murata, Attractor selection and perturbation for robust networks in fluctuating environments, IEEE Network24 (2010), 14–18. doi:10.1109/MNET.2010.5464222.
16.
P.Levis and D.Culler, The firecracker protocol, in: Proc. the 11th ACM SIGOPS European Workshop, 2004.
17.
P.Levis, N.Patel, D.Culler and S.Shenker, Trickle: A self-regulating algorithm for code propagation and maintenance in wireless sensor networks, in: Proc. the 1st Conf. Symp. Networked Systems Design and Implementation, Vol. 1, 2004, pp. 2.
18.
M.Musolesi and C.Mascolo, Controlled epidemic-style dissemination middleware for mobile ad hoc networks, in: Proc. 3rd Ann. Int. Conf. Mobile and Ubiquitous Systems, 2006, pp. 1–9.
19.
T.Nakano, Biologically inspired network systems: A review and future prospects, IEEE Trans. Systems, Man, and Cybernetics – Part C: Applications and Reviews41 (2011), 630–643. doi:10.1109/TSMCC.2010.2090141.
20.
B.Pendleton and M.Goodrich, Scalable human interaction with robotic swarms, American Institute of Aeronautics and Astronautics, 2015. doi:10.2514/6.2013-473.
21.
P.Walker, S.A.Amraii, N.Chakraborty and K.Sycara, Human control of robot swarms with dynamic leaders, in: Proc. IEEE/RSJ Int. Conf. Intell. Robot. Syst., 2014, pp. 1108–1113.
22.
P.Walker, S.A.Amraii, M.Lewis, N.Chakraborty and K.Sycara, Human control of leader-based swarms, in: Proc. IEEE Int. Conf. Syst. Man, Cybern., 2013, pp. 2712–2717.
23.
G.Williamson, D.Cellai, S.Dobson and P.Nixon, Modelling periodic data dissemination in wireless sensor networks, in: UKSim European Symposium on Computer Modeling and Simulation2009, pp. 499–504. doi:10.1109/EMS.2009.31.
24.
W.Ye, J.Heidemann and D.Estrin, An energy efficient mac protocol for wireless sensor networks, in: IEEE INFOCOM, pp. 1567–1576, 2002.
