Event-to-Sink Multipath Routing Protocol for Event Reliability in Wireless Sensor Networks

Wireless Sensor Networks (WSNs) have been researched to detect various events on sensor fields. A lot of sensor nodes in a specific region called an event region around an event detect it and send reporting data to a sink. To reliably detect an event, reporting data should be reliably delivered to a sink in lossy networks such as WSNs with frequent path breakages. Multipath routing can be one of attractive approaches to cope with the lossy networks. However, if many sensor nodes in an event region construct their own multipaths to a sink and sends their own reporting data through the multipaths to the sink, the data cannot be reliably and energy-efficiently delivered to the sink due to concentration of a large number of data. Therefore, we propose an event-to-sink Multipath Routing protocol with Multiple Sources called MRMS that supports efficient and reliable data delivery from multiple sources in an event region to a sink. MRMS decides the number of multipaths for an event region. The number of multipaths is calculated with the number of sensor nodes in the event region, the data size, and the buffer size. Based on the number of multipath, MRMS divides the event region into sectors and constructs a multipath in each sector. Sensor nodes in each sector uses the multipath in their own sector as the primary path and the multipath in their neighbor sectors as the alternative path. MRMS also provides a multipath reconstruction method against the failure of a multipath. Simulation results conducted in various environments show that the proposed protocol achieves better performance than the well-known previous protocol.

[1]  Özgür B. Akan,et al.  ESRT: event-to-sink reliable transport in wireless sensor networks , 2003, MobiHoc '03.

[2]  Deborah Estrin,et al.  Highly-resilient, energy-efficient multipath routing in wireless sensor networks , 2001, MOCO.

[3]  Jalel Ben-Othman,et al.  REER: Robust and Energy Efficient Multipath Routing Protocol for Wireless Sensor Networks , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.

[4]  Himabindu Pucha,et al.  Performance comparison of scalable location services for geographic ad hoc routing , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[5]  Ian F. Akyildiz,et al.  Sensor Networks , 2002, Encyclopedia of GIS.

[6]  Sang-Ha Kim,et al.  Quality-Based Event Reliability Protocol in Wireless Sensor Networks , 2011 .

[7]  David E. Culler,et al.  Mica: A Wireless Platform for Deeply Embedded Networks , 2002, IEEE Micro.

[8]  Matt Welsh,et al.  Sensor networks for emergency response: challenges and opportunities , 2004, IEEE Pervasive Computing.

[9]  Jong Hyun Lim,et al.  Wireless Medical Sensor Networks in Emergency Response: Implementation and Pilot Results , 2008, 2008 IEEE Conference on Technologies for Homeland Security.

[10]  Brad Karp,et al.  GPSR : Greedy Perimeter Stateless Routing for Wireless , 2000, MobiCom 2000.

[11]  Qi Han,et al.  Journal of Network and Systems Management ( c ○ 2007) DOI: 10.1007/s10922-007-9062-0 A Survey of Fault Management in Wireless Sensor Networks , 2022 .

[12]  Sunil Kumar,et al.  Robust On-Demand Multipath Routing with Dynamic Path Upgrade for Delay-Sensitive Data over Ad Hoc Networks , 2013, J. Comput. Networks Commun..

[13]  D. Puccinelli,et al.  Wireless sensor networks: applications and challenges of ubiquitous sensing , 2005, IEEE Circuits and Systems Magazine.

[14]  Sang-Ha Kim,et al.  Sink Location Service Based on Circle and Line Paths in Wireless Sensor Networks , 2010, IEEE Communications Letters.