Adaptive route-sharing protocol for data collection in Wireless Sensor Networks

A Wireless Sensor Network (WSN) comprises a large number of sensor nodes and a few sink nodes. When multiple sink nodes are interested in collecting the readings of the same monitoring region, it is conducive to exploit the sharing route to save bandwidth and power consumption and prolong WSNs lifetime. This paper proposes a Dynamic Route-Sharing Protocol (DRSP), which constructs sharing routes based on different attributes (for example, frequency, packet length or delay time) of the commands requested from different sink nodes. The proposed DRSP dynamically adjusts data transmission route to achieve the goals of routes sharing and route length reduction. The simulation study shows that DRSP saves more energy and bandwidth consumptions than the existing work and thus prolongs the WSNs lifetime.

[1]  Robert Tappan Morris,et al.  Span: An Energy-Efficient Coordination Algorithm for Topology Maintenance in Ad Hoc Wireless Networks , 2001, MobiCom '01.

[2]  Wendi B. Heinzelman,et al.  Adaptive protocols for information dissemination in wireless sensor networks , 1999, MobiCom.

[3]  Tarek F. Abdelzaher,et al.  Energy-conserving data cache placement in sensor networks , 2005, TOSN.

[4]  R. Srinivasan,et al.  An Approach to Load Balancing and Network Longevity using Dynamic Adaptive Routing in Wireless Sensor Networks , 2008, 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom).

[5]  Deborah Estrin,et al.  Impact of network density on data aggregation in wireless sensor networks , 2002, Proceedings 22nd International Conference on Distributed Computing Systems.

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

[7]  Zhen He,et al.  Aggregation in sensor networks with a user-provided quality of service goal , 2008, Inf. Sci..

[8]  Songwu Lu,et al.  A self-organizing approach to data forwarding in large-scale sensor networks , 2001, ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240).

[9]  Jie Wu,et al.  Chain-based protocols for data broadcasting and gathering in the sensor networks , 2003, Proceedings International Parallel and Distributed Processing Symposium.

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

[11]  Yanghee Choi,et al.  Data dissemination over wireless sensor networks , 2004, IEEE Communications Letters.

[12]  Mark A. Shayman,et al.  Energy Efficient Routing in Wireless Sensor Networks , 2003 .

[13]  Deborah Estrin,et al.  Directed diffusion: a scalable and robust communication paradigm for sensor networks , 2000, MobiCom '00.

[14]  Angelo Perkusich,et al.  Broadcast routing in wireless sensor networks with dynamic power management and multi-coverage backbones , 2010, Inf. Sci..

[15]  Hyung Seok Kim,et al.  Minimum-energy asynchronous dissemination to mobile sinks in wireless sensor networks , 2003, SenSys '03.

[16]  Tarek F. Abdelzaher,et al.  Energy-conserving data placement and asynchronous multicast in wireless sensor networks , 2003, MobiSys '03.

[17]  Dragan Petrovic,et al.  Information-directed routing in ad hoc sensor networks , 2003, IEEE Journal on Selected Areas in Communications.

[18]  Jorjeta G. Jetcheva,et al.  Adaptive demand-driven multicast routing in multi-hop wireless ad hoc networks , 2001, MobiHoc '01.

[19]  Masahiko Yoshimoto,et al.  Aggregation Efficiency-Aware Greedy Incremental Tree Routing for Wireless Sensor Networks , 2006, IEICE Trans. Commun..

[20]  M. F.,et al.  Bibliography , 1985, Experimental Gerontology.

[21]  M. Gerla,et al.  GloMoSim: a library for parallel simulation of large-scale wireless networks , 1998, Proceedings. Twelfth Workshop on Parallel and Distributed Simulation PADS '98 (Cat. No.98TB100233).