Energy-Efficient Routing Mechanism for Mobile Sink in Wireless Sensor Networks Using Particle Swarm Optimization Algorithm

Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). A survey on sensor networks. IEEE Communications Magazine, 40, 102–114.

Nikokheslat, H. D., & Ghaffari, A. (2017). Protocol for controlling congestion in wireless sensor networks. Wireless Personal Communications, 95, 3233–3251.

Ghaffari, A. (2015). Congestion control mechanisms in wireless sensor networks: A survey. Journal of Network and Computer Applications, 52, 101–115.

Ghaffari, A. (2014). An energy efficient routing protocol for wireless sensor networks using A-star algorithm. Journal of Applied Research and Technology, 12, 815–822.

KeyKhosravi, D., Ghaffari, A., Hosseinalipour, A., & Khasragi, B. A. (2010). New clustering protocol to decrease probability failure nodes and increasing the lifetime in WSNs. International Journal of Advanced Computer Technology, 2, 117–121.

Azari, L., & Ghaffari, A. (2015). Proposing a novel method based on network-coding for optimizing error recovery in wireless sensor networks. Indian Journal of Science and Technology, 8, 859–867.

Ghaffari, A., & Takanloo, V. A. (2011). QoS-based routing protocol with load balancing for wireless multimedia sensor networks using genetic algorithm. World Applied Sciences Journal, 15, 1659–1666.

Salarian, H., Chin, K.-W., & Naghdy, F. (2014). An energy-efficient mobile-sink path selection strategy for wireless sensor networks. IEEE Transactions on Vehicular Technology, 63, 2407–2419.

Krishnan, A. M., & Kumar, P. G. (2016). An effective clustering approach with data aggregation using multiple mobile sinks for heterogeneous WSN. Wireless Personal Communications, 90, 423–434.

Zhou, Z., Du, C., Shu, L., Hancke, G., Niu, J., & Ning, H. (2016). An energy-balanced heuristic for mobile sink scheduling in hybrid WSNs. IEEE Transactions on Industrial Informatics, 12, 28–40.

Tang, J., Yang, W., Zhu, L., Wang, D., & Feng, X. (2017). An adaptive clustering approach based on minimum travel route planning for wireless sensor networks with a mobile sink. Sensors, 17, 964.

Wang, J., Cao, J., Ji, S., & Park, J. H. (2017). Energy-efficient cluster-based dynamic routes adjustment approach for wireless sensor networks with mobile sinks. The Journal of Supercomputing, 73, 3277–3290.

Pedersen, M. E. H., & Chipperfield, A. J. (2010). Simplifying particle swarm optimization. Applied Soft Computing, 10, 618–628.

Amiri, B., Fathian, M., & Maroosi, A. (2009). Application of shuffled frog-leaping algorithm on clustering. The International Journal of Advanced Manufacturing Technology, 45, 199–209.

Vericat, F., Stoico, C. O., Carlevaro, C. M., & Renzi, D. G. (2011). Genetic algorithm for the pair distribution function of the electron gas. Interdisciplinary Sciences: Computational Life Sciences, 3, 283–289.

Rajabioun, R. (2011). Cuckoo optimization algorithm. Applied Soft Computing, 11, 5508–5518.

Lee, E., Park, S., Yu, F., & Kim, S.-H. (2010). Communication model and protocol based on multiple static sinks for supporting mobile users in wireless sensor networks. IEEE Transactions on Consumer Electronics, 56, 1652–1660.

Lee, E., Park, S., Lee, J., Oh, S., & Kim, S.-H. (2011). Novel service protocol for supporting remote and mobile users in wireless sensor networks with multiple static sinks. Wireless Networks, 17, 861–875.

Vincze, Z., Vida, R., & Vidacs, A. (2007). Deploying multiple sinks in multi-hop wireless sensor networks. In IEEE international conference on pervasive services (pp. 55–63).

Bagheri, T., & Ghaffari, A. (2011) Recm: Reliable and energy effective clustering based multi-path routing algorithm for wireless sensor networks. In: World Congress on Information and Communication Technologies (WICT) (pp. 1340–1345).

Alizadeh, S., & Ghaffari, A. (2010). An energy-efficient hirerchical clustering protocole in wireless sensor networks. In: 3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT) (pp. 413–418).

Khabiri, M., & Ghaffari, A. (2018). Energy-aware clustering-based routing in wireless sensor networks using cuckoo optimization algorithm. Wireless Personal Communications, 98, 2473–2495.

Gu, Y., Ren, F., Ji, Y., & Li, J. (2016). The evolution of sink mobility management in wireless sensor networks: A survey. IEEE Communications Surveys and Tutorials, 18, 507–524.

Wang, J., Cao, Y., Li, B., Kim, H.-J., & Lee, S. (2017). Particle swarm optimization based clustering algorithm with mobile sink for WSNs. Future Generation Computer Systems, 76, 452–457.

Zhang, J., Tang, J., Wang, T., & Chen, F. (2017). Energy-efficient data-gathering rendezvous algorithms with mobile sinks for wireless sensor networks. International Journal of Sensor Networks, 23, 248–257.

Chang, J.-Y., & Shen, T.-H. (2016). An efficient tree-based power saving scheme for wireless sensor networks with mobile sink. IEEE Sensors Journal, 16, 7545–7557.

Kaswan, A., Nitesh, K., & Jana, P. K. (2017). Energy efficient path selection for mobile sink and data gathering in wireless sensor networks. AEU-International Journal of Electronics and Communications, 73, 110–118.

Heinzelman, W. R., Chandrakasan, A., & Balakrishnan, H. (2000). Energy-efficient communication protocol for wireless microsensor networks. In: Proceedings of the 33rd Annual Hawaii International Conference on System Sciences (Vol. 2, p. 10).