RMER: Reliable and Energy-Efficient Data Collection for Large-Scale Wireless Sensor Networks

We propose a novel event data collection approach named reliability and multipath encounter routing (RMER) for meeting reliability and energy efficiency requirements. The contributions of the RMER approach are as follows. 1) Fewer monitor nodes are selected in hotspot areas that are close to the Sink, and more monitor nodes are selected in nonhotspot areas, which can lead to increased network lifetime and event detection reliability. 2) The RMER approach sends data to the Sink by converging multipath routes of event monitoring nodes into a one-path route to aggregate data. Thus, energy consumption can be greatly reduced, thereby enabling further increased network lifetime. Both theoretical and experimental simulation results show that RMER applied to event detection outperforms other solutions. Our results clearly indicate that RMER increases energy efficiency by 51% and network lifetime by 23% over other solutions while guaranteeing event detection reliability.

[1]  Jiming Chen,et al.  Energy provisioning in wireless rechargeable sensor networks , 2011, 2011 Proceedings IEEE INFOCOM.

[2]  Xin Jin,et al.  An elaborate chronological and spatial analysis of energy hole for wireless sensor networks , 2013, Comput. Stand. Interfaces.

[3]  Lang Tong,et al.  Quality-of-service specific information retrieval for densely deployed sensor networks , 2003, IEEE Military Communications Conference, 2003. MILCOM 2003..

[4]  Koen Langendoen,et al.  An adaptive energy-efficient MAC protocol for wireless sensor networks , 2003, SenSys '03.

[5]  Michael Gastpar,et al.  Power, spatio-temporal bandwidth, and distortion in large sensor networks , 2005, IEEE Journal on Selected Areas in Communications.

[6]  Deborah Estrin,et al.  Directed diffusion for wireless sensor networking , 2003, TNET.

[7]  Martin Vetterli,et al.  Network correlated data gathering with explicit communication: NP-completeness and algorithms , 2006, IEEE/ACM Transactions on Networking.

[8]  Deborah Estrin,et al.  Medium access control with coordinated adaptive sleeping for wireless sensor networks , 2004, IEEE/ACM Transactions on Networking.

[9]  Özgür B. Akan,et al.  Spatio-temporal correlation: theory and applications for wireless sensor networks , 2004, Comput. Networks.

[10]  Laurence T. Yang,et al.  Aggregated-Proof Based Hierarchical Authentication Scheme for the Internet of Things , 2015, IEEE Transactions on Parallel and Distributed Systems.

[11]  Richard Zurawski,et al.  Embedded Systems Handbook , 2004 .

[12]  Chadi Assi,et al.  Compressive data gathering using random projection for energy efficient wireless sensor networks , 2014, Ad Hoc Networks.

[13]  Engin Zeydan,et al.  Energy-efficient routing for correlated data in wireless sensor networks , 2012, Ad Hoc Networks.

[14]  Anna Scaglione,et al.  On the Interdependence of Routing and Data Compression in Multi-Hop Sensor Networks , 2002, MobiCom '02.

[15]  Katia Obraczka,et al.  Energy-Efficient, Collision-Free Medium Access Control for Wireless Sensor Networks , 2006 .

[16]  Anfeng Liu,et al.  On mitigating hotspots to maximize network lifetime in multi-hop wireless sensor network with guaranteed transport delay and reliability , 2012, Peer-to-Peer Networking and Applications.

[17]  Sajal K. Das,et al.  Routing Correlated Data in Wireless Sensor Networks: A Survey , 2007, IEEE Network.

[18]  Ning Wang,et al.  Scalable sender access control for bi-directional multicast routing , 2003, Comput. Networks.

[19]  Moustafa Youssef,et al.  Energy-Aware TDMA-Based MAC for Sensor Networks , 2002 .

[20]  Y. C. Tay,et al.  Sift: A MAC Protocol for Event-Driven Wireless Sensor Networks , 2006, EWSN.

[21]  Xianzhong Tian,et al.  Reliable and Energy-Efficient Data Forwarding in Industrial Wireless Sensor Networks , 2017, IEEE Systems Journal.

[22]  Min Chen,et al.  PWDGR: Pair-Wise Directional Geographical Routing Based on Wireless Sensor Network , 2015, IEEE Internet of Things Journal.

[23]  Martin Vetterli,et al.  Network correlated data gathering with explicit communication: NP-completeness and algorithms , 2006 .

[24]  Olivier Berder,et al.  Energy-delay tradeoff in wireless multihop networks with unreliable links , 2012, Ad Hoc Networks.

[25]  Zhongming Zheng,et al.  Secure and Energy-Efficient Disjoint Multipath Routing for WSNs , 2012, IEEE Transactions on Vehicular Technology.

[26]  Wendi Heinzelman,et al.  Maximizing Gathered Samples in Wireless Sensor Networks with Slepian-Wolf Coding , 2012, IEEE Transactions on Wireless Communications.

[27]  Xiaohong Jiang,et al.  Reliability Assessment for Wireless Mesh Networks Under Probabilistic Region Failure Model , 2011, IEEE Transactions on Vehicular Technology.

[28]  Azzedine Boukerche,et al.  DRINA: A Lightweight and Reliable Routing Approach for In-Network Aggregation in Wireless Sensor Networks , 2013, IEEE Transactions on Computers.

[29]  Ramesh Govindan,et al.  The impact of spatial correlation on routing with compression in wireless sensor networks , 2008, TOSN.

[30]  Raouf Boutaba,et al.  Efficient reporting node selection-based MAC protocol for wireless sensor networks , 2012, Wireless Networks.

[31]  I.F. Akyildiz,et al.  Spatial correlation-based collaborative medium access control in wireless sensor networks , 2006, IEEE/ACM Transactions on Networking.

[32]  Luigi Patrono,et al.  A novel MAC scheduler to minimize the energy consumption in a Wireless Sensor Network , 2014, Ad Hoc Networks.