Increasing Wireless Sensor Networks durability through fault nodes resilience capability

A Wireless Sensor Network (WSN) is mission dependent and deployed in an interesting area in order to collect information describing an observable phenomenon. In a clustering configuration approach, nodes are organized in clusters, within one ClusterHead (CH) node is responsible for managing and scheduling sensed data communications among standard nodes and sink. So, the success of a WSN mission is tightly relied on the robustness of indispensable nodes: CH and sink. Since WSNs are generally deployed in harsh environments, CHs and Sink are prone to failures so, the survival of a WSN depends strictly on survival of its sink and CHs. In this paper, we investigate the ability to render CHs and sink more resilient to failure. To this end, we propose a protocol avoiding sink and CHs to be central point of failure and making them more faults tolerant. Simulation carried out via PowerTOSSIM/TinyOS showed attracting and convincing results.

[1]  Matt Welsh,et al.  Simulating the power consumption of large-scale sensor network applications , 2004, SenSys '04.

[2]  Xiaobing Wu,et al.  Dual-Sink: Using Mobile and Static Sinks for Lifetime Improvement in Wireless Sensor Networks , 2007, 2007 16th International Conference on Computer Communications and Networks.

[3]  Z. Aliouat,et al.  Resilient sinks for long lived wireless sensor networks , 2012, 2012 International Symposium on Computer Applications and Industrial Electronics (ISCAIE).

[4]  Luca Benini,et al.  A discrete-time battery model for high-level power estimation , 2000, DATE '00.

[5]  Yoon-Hwa Choi,et al.  Fault detection of wireless sensor networks , 2008, Comput. Commun..

[6]  Carl E. Landwehr,et al.  Basic concepts and taxonomy of dependable and secure computing , 2004, IEEE Transactions on Dependable and Secure Computing.

[7]  Antonio Puliafito,et al.  A multi-sink swarm-based routing protocol for Wireless Sensor Networks , 2009, 2009 IEEE Symposium on Computers and Communications.

[8]  Sarma B. K. Vrudhula,et al.  Time-to-failure estimation for batteries in portable electronic systems , 2001, ISLPED '01.

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

[10]  Antonio Alfredo Ferreira Loureiro,et al.  Fault management in event-driven wireless sensor networks , 2004, MSWiM '04.

[11]  A. Rahman,et al.  Fault tolerance in sensor networks using self-diagnosing sensor nodes , 2005 .

[12]  Miodrag Potkonjak,et al.  Fault Tolerance in Wireless Sensor Networks , 2004, Handbook of Sensor Networks.

[13]  Deborah Estrin,et al.  Data-Centric Storage in Sensornets with GHT, a Geographic Hash Table , 2003, Mob. Networks Appl..