Inter- and intra-cluster movement of mobile sink algorithms for cluster-based networks to enhance the network lifetime

Abstract Due to limited resources of the sensor nodes energy efficiency is an important performance metric to evaluate the wireless sensor networks (WSN). In cluster-based WSNs, the cluster heads (CH) located around base station (BS) consume more energy and exhaust their energy supplies faster than other ones which leads to energy hole problem and premature network death. Furthermore, single-hop transmission manner is usually applied for intra-cluster communication, therefore the member nodes (MN) located farther away from CHs die sooner than other MNs, which leads to coverage holes and reduce the network performance. In this paper, we propose mobile sink (MS) based inter- and intra-cluster routing algorithms. The first algorithm aims to solve the unbalanced energy consumption of CHs, which results in enhanced network lifetime. Likewise, the goal of the second algorithm is to balance the energy consumption of MNs, which results in improved coverage time of the network. In the proposed mechanism, MSs move along clusters and stay in each cluster for a limited sojourn time calculated via first algorithm. Then, the optimal sojourn positions of MSs in the clusters are determined via second algorithm. Simulation results reveal that the proposed algorithms enhance the network performance in terms of different performance evaluation metrics.

[1]  Mohammed Abo-Zahhad,et al.  Mobile Sink-Based Adaptive Immune Energy-Efficient Clustering Protocol for Improving the Lifetime and Stability Period of Wireless Sensor Networks , 2015, IEEE Sensors Journal.

[2]  Leila Ben Saad,et al.  Multiple Mobile Sinks Positioning in Wireless Sensor Networks for Buildings , 2009, 2009 Third International Conference on Sensor Technologies and Applications.

[3]  Tat Chee Wan,et al.  A Survey on Analytical Modeling and Mitigation Techniques for the Energy Hole Problem in Corona-Based Wireless Sensor Network , 2015, Wirel. Pers. Commun..

[4]  Muhammed Enes Bayrakdar,et al.  Improving spectrum handoff utilization for prioritized cognitive radio users by exploiting channel bonding with starvation mitigation , 2017 .

[5]  Min Chen,et al.  Energy equilibrium based on corona structure for wireless sensor networks , 2012, Wirel. Commun. Mob. Comput..

[6]  Sergio de Olivera,et al.  Extending the Lifetime of Wireless Sensor Networks using a Genetic Model for Defining Mobile Sinks , 2017, ICRA 2017.

[7]  Feng Xia,et al.  Mobility Based Data Collection Algorithm for Wireless Sensor Networks , 2013, 2013 IEEE 9th International Conference on Mobile Ad-hoc and Sensor Networks.

[8]  Waylon Brunette,et al.  Data MULEs: modeling and analysis of a three-tier architecture for sparse sensor networks , 2003, Ad Hoc Networks.

[9]  Hongke Zhang,et al.  Efficient Data Collection in Wireless Sensor Networks with Path-Constrained Mobile Sinks , 2011, IEEE Trans. Mob. Comput..

[10]  Andrej Bogdanov,et al.  Power-aware base station positioning for sensor networks , 2004, IEEE INFOCOM 2004.

[11]  Wendi B. Heinzelman,et al.  Prolonging the lifetime of wireless sensor networks via unequal clustering , 2005, 19th IEEE International Parallel and Distributed Processing Symposium.

[12]  Weifa Liang,et al.  Prolonging Network Lifetime via a Controlled Mobile Sink in Wireless Sensor Networks , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[13]  Prasanta K. Jana,et al.  A multi-objective and PSO based energy efficient path design for mobile sink in wireless sensor networks , 2018, Pervasive Mob. Comput..

[14]  Limin Sun,et al.  HUMS: An Autonomous Moving Strategy for Mobile Sinks in Data-Gathering Sensor Networks , 2007, EURASIP J. Wirel. Commun. Netw..

[15]  Ioannis Chatzigiannakis,et al.  Efficient data propagation strategies in wireless sensor networks using a single mobile sink , 2008, Comput. Commun..

[16]  Leonidas Georgiadis,et al.  Energy-aware Routing to Maximize Lifetime in Wireless Sensor Networks with Mobile Sink , 2017 .

[17]  Bin Li,et al.  Particle swarm optimization based clustering algorithm with mobile sink for WSNs , 2017, Future Gener. Comput. Syst..

[18]  Haiyun Luo,et al.  TTDD: Two-Tier Data Dissemination in Large-Scale Wireless Sensor Networks , 2005, Wirel. Networks.

[19]  Wen-Hwa Liao,et al.  An efficient load balance data collection scheme in wireless sensor networks , 2015, 2015 Seventh International Conference on Ubiquitous and Future Networks.

[20]  Young-Hun Kim,et al.  A myopic mobile sink migration strategy for maximizing lifetime of wireless sensor networks , 2014, Wirel. Networks.

[21]  Fazel Naghdy,et al.  An Energy-Efficient Mobile-Sink Path Selection Strategy for Wireless Sensor Networks , 2014, IEEE Transactions on Vehicular Technology.

[22]  Emanuel Melachrinoudis,et al.  A New MILP Formulation and Distributed Protocols for Wireless Sensor Networks Lifetime Maximization , 2006, 2006 IEEE International Conference on Communications.

[23]  Wei Zhu,et al.  An Efficient Algorithm for Energy Management in Wireless Sensor Networks via Employing Multiple Mobile Sinks , 2016, Int. J. Distributed Sens. Networks.

[24]  Prasanta K. Jana,et al.  Energy efficient path selection for mobile sink and data gathering in wireless sensor networks , 2017 .

[25]  Bin Li,et al.  An Energy Efficient Distance-Aware Routing Algorithm with Multiple Mobile Sinks for Wireless Sensor Networks , 2014, Sensors.

[26]  Mohammad Hossein Yaghmaee Moghaddam,et al.  Optimal Location for Mobile Sink in Wireless Sensor Networks , 2010, 2010 IEEE Wireless Communication and Networking Conference.

[27]  José D. P. Rolim,et al.  Energy balanced data propagation in wireless sensor networks , 2006, Wirel. Networks.

[28]  Kamalrulnizam Abu Bakar,et al.  Collaborative Mobile Sink Sojourn Time Optimization Scheme for Cluster-Based Wireless Sensor Networks , 2018, IEEE Sensors Journal.

[29]  Mihaela Cardei,et al.  Using sink mobility to increase wireless sensor networks lifetime , 2008, 2008 International Symposium on a World of Wireless, Mobile and Multimedia Networks.

[30]  K. Murugan,et al.  Corona based clustering with mixed routing and data aggregation to avoid energy hole problem in wireless sensor network , 2012, 2012 Fourth International Conference on Advanced Computing (ICoAC).

[31]  Kamalrulnizam Abu Bakar,et al.  An Energy-Efficient Mobile Sink-Based Unequal Clustering Mechanism for WSNs , 2017, Sensors.

[32]  Osama Moh'd Alia,et al.  Dynamic relocation of mobile base station in wireless sensor networks using a cluster-based harmony search algorithm , 2017, Inf. Sci..

[33]  Muhammed Enes Bayrakdar,et al.  Non‐preemptive Queueing Model of Spectrum Handoff Scheme Based on Prioritized Data Traffic in Cognitive Wireless Networks , 2017 .

[34]  Emanuel Melachrinoudis,et al.  Controlled sink mobility for prolonging wireless sensor networks lifetime , 2008, Wirel. Networks.

[35]  Nadeem Javaid,et al.  Balanced Transmissions Based Trajectories of Mobile Sink in Homogeneous Wireless Sensor Networks , 2017, J. Sensors.

[36]  Khaled Almiani,et al.  Energy-efficient data gathering with tour length-constrained mobile elements in wireless sensor networks , 2010, IEEE Local Computer Network Conference.