Design space exploration for optimizing wireless sensor networks using social network analysis

A rapidly rising number of civilian and military real-world applications require deployments of large sensor networks. However, problems like limited energy supply, tough environments, data latency and integrity cause adverse effects on large topologies of sensors. This paper presents a novel approach in designing the placement of relay nodes in a sensor network. By using concepts from the area of social network analysis and mapping them to the already classical field of sensor networks we succeed to add improvements to the costs implied with deploying the infrastructure. By socializing the topology with the concepts of centrality and community structure, our research is focused around a flexible design space exploration algorithm we have devised, which offers a balance between the performance and cost of deploying relays in a sensor network. As a result, our WSN design achieves a relevant improvement over the state of the art solutions.

[1]  J. Kruskal On the shortest spanning subtree of a graph and the traveling salesman problem , 1956 .

[2]  Madjid Merabti,et al.  Monitoring connectivity in wireless sensor networks , 2009, 2009 IEEE Symposium on Computers and Communications.

[3]  John Anderson,et al.  Wireless sensor networks for habitat monitoring , 2002, WSNA '02.

[4]  Puneet Azad Energy Efficient Clustering Algorithms for Wireless Sensor Networks , 2015 .

[5]  Prasun Sinha,et al.  Throughput and energy efficiency in topology-controlled multi-hop wireless sensor networks , 2003, WSNA '03.

[6]  S. Wasserman,et al.  Advances in Social Network Analysis: Research in the Social and Behavioral Sciences , 1994 .

[7]  M E J Newman,et al.  Modularity and community structure in networks. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[8]  Guanrong Chen,et al.  Complex networks: small-world, scale-free and beyond , 2003 .

[9]  Mohamed F. Younis,et al.  Strategies and techniques for node placement in wireless sensor networks: A survey , 2008, Ad Hoc Networks.

[10]  Chee-Yee Chong,et al.  Sensor networks: evolution, opportunities, and challenges , 2003, Proc. IEEE.

[11]  Amy Nicole Langville,et al.  Google's PageRank and beyond - the science of search engine rankings , 2006 .

[12]  Hossam S. Hassanein,et al.  Relay node deployment strategies in heterogeneous wireless sensor networks: multiple-hop communication case , 2005, 2005 Second Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, 2005. IEEE SECON 2005..

[13]  J. Kleinberg,et al.  Networks, Crowds, and Markets , 2010 .

[14]  M. Ishizuka,et al.  Performance study of node placement in sensor networks , 2004, 24th International Conference on Distributed Computing Systems Workshops, 2004. Proceedings..

[15]  Ying Chen,et al.  A New Architecture for Hierarchical Sensor Networks with Mobile Data Collectors , 2010, ICDCN.

[16]  Wint Yi Poe,et al.  Sink placement without location information in large-scale wireless sensor networks , 2009, AINTEC.

[17]  Mathieu Bastian,et al.  Gephi: An Open Source Software for Exploring and Manipulating Networks , 2009, ICWSM.

[18]  Martin Haenggi,et al.  Toward Quasiregular Sensor Networks: Topology Control Algorithms for Improved Energy Efficiency , 2006, IEEE Transactions on Parallel and Distributed Systems.

[19]  Guangting Chen,et al.  Relay node placement in two-tiered wireless sensor networks with base stations , 2013, J. Comb. Optim..

[20]  R. Lambiotte,et al.  Random Walks, Markov Processes and the Multiscale Modular Organization of Complex Networks , 2008, IEEE Transactions on Network Science and Engineering.

[21]  Patrizia Grifoni,et al.  An Overview of Methods for Virtual Social Networks Analysis , 2010, Computational Social Network Analysis.

[22]  Chen-Nee Chuah,et al.  Energy-aware node placement in wireless sensor networks , 2004, IEEE Global Telecommunications Conference, 2004. GLOBECOM '04..

[23]  Jean-Loup Guillaume,et al.  Fast unfolding of communities in large networks , 2008, 0803.0476.