A simulation system for WSNs as a Digital Eco-System approach considering goodput metric

Sensor networks are a sensing, computing and communication infrastructure that are able to observe and respond to phenomena in the natural environment and in our physical and cyber infrastructure. The sensors themselves can range from small passive micro-sensors to larger scale, controllable weather-sensing platforms. In order to simulate Wireless Sensor Networks (WSNs), we implemented a simulation system as a Digital Eco-System (DES) approach. We implement our system as a multi-modal system considering different topologies, radio models, routing protocols, MAC protocols, and different number of nodes. However, in this work, we consider the goodput metric and evaluate the performance of WSN for AODV and TwoRayGround model considering different topologies and number of nodes. To reduce the consumed energy of a large scale WSN network, we consider a mobile sink node in the observing area. We investigate how the sensor network performs in the case when the sink node moves. We compare the simulation results for two cases: when the sink node is mobile and stationary. The simulation results have shown that for the case of mobile sink, the goodput of random topology is better than the case of lattice. In the case of stationary sink, the goodput is unstable. In case of mobile sink, the goodput is stable and better than in case of stationary sink.

[1]  Abbas Jamalipour,et al.  Wireless communications , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[2]  Özgür B. Akan,et al.  Event-to-sink reliable transport in wireless sensor networks , 2005, IEEE/ACM Transactions on Networking.

[3]  JAMAL N. AL-KARAKI,et al.  Routing techniques in wireless sensor networks: a survey , 2004, IEEE Wireless Communications.

[4]  Leonard Barolli,et al.  Performance Evaluation of a Wireless Sensor Network for Mobile and Stationary Event Cases Considering Routing Efficiency and Goodput Metrics , 2009, Scalable Comput. Pract. Exp..

[5]  Andrea Goldsmith,et al.  Wireless Communications , 2005, 2021 15th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS).

[6]  Öznur Özkasap,et al.  Ad-Hoc Networks , 2008, Encyclopedia of Algorithms.

[7]  S. Giodano,et al.  Topics in ad hoc and sensor networks , 2006, IEEE Communications Magazine.

[8]  Gerard Briscoe,et al.  Digital Ecosystems: Evolving Service-Orientated Architectures , 2006, 2006 1st Bio-Inspired Models of Network, Information and Computing Systems.

[9]  Ossama Younis,et al.  HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks , 2004, IEEE Transactions on Mobile Computing.

[10]  Catherine Rosenberg,et al.  Topics in ad hoc and sensor networks , 2006, IEEE Commun. Mag..

[11]  Gang Zhou,et al.  Models and solutions for radio irregularity in wireless sensor networks , 2006, TOSN.

[12]  Matt Welsh,et al.  Deploying a wireless sensor network on an active volcano , 2006, IEEE Internet Computing.

[13]  Özgür B. Akan,et al.  On the cross-layer interactions between congestion and contention in wireless sensor and actor networks , 2007, Ad Hoc Networks.