Multihop/direct forwarding for 3D wireless sensor networks

Wireless Sensor Networks (WSNs) are limited in their energy, computation and communication capabilities. Energy efficiency and balancing are the primary challenges for WSNs since the sensor nodes cannot be easily recharged once they are deployed [3]. The data forwarding techniques play an important role in determining the energy consumption of the network. These techniques are employed to transmit the sensed information to the final destination. In this work, we analyze the behavior of one such technique known as Multihop/Direct Forwarding (MDF) [6], when applied to the sensor network deployed in three dimensional fields. The simulation is performed in MATLAB and the results are evaluated extensively against other data forwarding techniques such as Closest Forwarding (CF), Direct Forwarding (DF) and Multihop Forwarding (MF). The results reveal that the MDF scheme in 3D has lesser energy consumption than other data forwarding techniques. Moreover, it effectively balances the consumption of energy among all nodes. The network lifetime is also prolonged in case of MDF compared to other data forwarding techniques when applied in three dimensional fields.

[1]  Jing Deng Multihop/Direct Forwarding (MDF) for static wireless sensor networks , 2009, TOSN.

[2]  리우 젠,et al.  Maximum lifetime routing in wireless ad hoc networks , 2002 .

[3]  Injong Rhee,et al.  How much energy saving does topology control offer for wireless sensor networks? - A practical study , 2007, Comput. Commun..

[4]  Jian Li,et al.  Analytical modeling and mitigation techniques for the energy hole problem in sensor networks , 2007, Pervasive Mob. Comput..

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

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

[7]  Ram Ramanathan,et al.  Topology control of multihop wireless networks using transmit power adjustment , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).

[8]  Teresa H. Meng,et al.  Minimum energy mobile wireless networks , 1998, ICC '98. 1998 IEEE International Conference on Communications. Conference Record. Affiliated with SUPERCOMM'98 (Cat. No.98CH36220).

[9]  Deborah Estrin,et al.  Networking issues in wireless sensor networks , 2003, J. Parallel Distributed Comput..

[10]  Anantha P. Chandrakasan,et al.  An application-specific protocol architecture for wireless microsensor networks , 2002, IEEE Trans. Wirel. Commun..

[11]  Martin Nilsson,et al.  Investigating the energy consumption of a wireless network interface in an ad hoc networking environment , 2001, Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213).

[12]  J. L. Gao,et al.  Analysis of Energy Consumption for Ad Hoc Wireless Sensor Networks Using a Bit-Meter-per-Joule Metric , 2002 .

[13]  Zhao Cheng,et al.  On the problem of unbalanced load distribution in wireless sensor networks , 2004, IEEE Global Telecommunications Conference Workshops, 2004. GlobeCom Workshops 2004..

[14]  Mingyan Liu,et al.  Revisiting the TTL-based controlled flooding search: optimality and randomization , 2004, MobiCom '04.

[15]  Gyula Simon,et al.  Sensor network-based countersniper system , 2004, SenSys '04.

[16]  Wendi B. Heinzelman,et al.  An analysis of strategies for mitigating the sensor network hot spot problem , 2005, The Second Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services.

[17]  Davide Brunelli,et al.  Wireless Sensor Networks , 2012, Lecture Notes in Computer Science.