Power Management Scheduling for Low Rate Wireless Sensor Networks

Wireless Personal Area Networks (WPANs) are used to spread information over personal operating spaces (POSs) and typically among only a few clients. These connections involve little or no infrastructure. Because of this, they offer small, inexpensive, power efficient solutions that can be implemented for a wide range of wireless-capable hardware. This paper looks at a power management algorithm for a wireless network. The purpose of IEEE 802.15.4 is to provide a low rate, low complexity, low cost wireless connection with fixed or movable devices that use what is referred to as “ultra low” power consumption. It is essential to come up with ways for the sensors to conserve power in these networks so that not all devices are using power and covering the same area of the network. The main idea of the algorithm that will be presented is to conserve power by reducing redundant devices in the network.

[1]  Yang Xiao,et al.  Delay-Constrained Optimal Data Aggregation in Hierarchical Wireless Sensor Networks , 2009, Mob. Networks Appl..

[2]  Lun-Wu Yeh,et al.  iPower: an energy conservation system for intelligent buildings by wireless sensor networks , 2009, Int. J. Sens. Networks.

[3]  Xiaodong Wang,et al.  Energy efficiency of a per-hop relay selection scheme for sensor networks using cooperative MIMO , 2008, Int. J. Sens. Networks.

[4]  Yang Xiao,et al.  Secure data aggregation in wireless sensor networks: A comprehensive overview , 2009, Comput. Networks.

[5]  Chiang Lee,et al.  Radius reconfiguration for energy conservation in sensor networks , 2009, Int. J. Sens. Networks.

[6]  Yu Wang,et al.  Energy-efficient topology control for three-dimensional sensor networks , 2008, Int. J. Sens. Networks.

[7]  Mohsen Guizani,et al.  Two Tier Secure Routing Protocol for Heterogeneous Sensor Networks , 2007, IEEE Transactions on Wireless Communications.

[8]  Mihaela Cardei,et al.  Energy-efficient connected-coverage in wireless sensor networks , 2008, Int. J. Sens. Networks.

[9]  Sunil Kumar,et al.  An energy-aware and intelligent cluster-based event detection scheme in wireless sensor networks , 2008, Int. J. Sens. Networks.

[10]  He Yanxiang,et al.  A distributed algorithm for constructing energy-balanced connected dominating set in wireless sensor networks , 2007 .

[11]  Li Yin,et al.  Energy-efficient data gathering algorithm in sensor networks with partial aggregation , 2008, Int. J. Sens. Networks.

[12]  Yang Xiao,et al.  IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, PAPER ID: TPDS-0307-0605.R1 1 Random Coverage with Guaranteed Connectivity: Joint Scheduling for Wireless Sensor Networks , 2022 .

[13]  Vehbi C. Gungor,et al.  Efficient available energy monitoring in wireless sensor networks , 2007, Int. J. Sens. Networks.

[14]  Taieb Znati,et al.  RECA: a ring-structured energy-efficient clustering architecture for robust communication in wireless sensor networks , 2007, Int. J. Sens. Networks.

[15]  Xiaoyan Hong,et al.  An online energy-efficient routing protocol with traffic load prospects in wireless sensor networks , 2009, Int. J. Sens. Networks.

[16]  Sesh Commuri,et al.  Boundary coverage and coverage boundary problems in wireless sensor networks , 2007, Int. J. Sens. Networks.

[17]  Janelle J. Harms,et al.  Efficient aggregation using first hop selection in WSNs , 2008, Int. J. Sens. Networks.

[18]  Wenye Wang,et al.  TTS: a two-tiered scheduling mechanism for energy conservation in wireless sensor networks , 2006, Int. J. Sens. Networks.

[19]  Mohsen Guizani,et al.  Transactions papers a routing-driven Elliptic Curve Cryptography based key management scheme for Heterogeneous Sensor Networks , 2009, IEEE Transactions on Wireless Communications.

[20]  Liansheng Tan,et al.  HCEP: a hybrid cluster-based energy-efficient protocol for wireless sensor networks , 2009, Int. J. Sens. Networks.

[21]  Taieb Znati,et al.  REAP: ring band-based energy adaptive protocol for information dissemination and forwarding in wireless sensor networks , 2006, Int. J. Sens. Networks.

[22]  Victor C. M. Leung,et al.  Reliable and energy-efficient routing protocol in dense wireless sensor networks , 2008, Int. J. Sens. Networks.

[23]  Nicolas Krommenacker,et al.  Energy-efficient image transmission in sensor networks , 2008, Int. J. Sens. Networks.

[24]  Gregory T. Byrd,et al.  Adaptive aggregation tree transformation for energy-efficient query processing in sensor networks , 2009, Int. J. Sens. Networks.

[25]  Victor C. M. Leung,et al.  Spatial-Temporal relation-based Energy-Efficient Reliable routing protocol in wireless sensor networks , 2009, Int. J. Sens. Networks.

[26]  Xiaojiang Du,et al.  Two and three-dimensional intrusion object detection under randomized scheduling algorithms in sensor networks , 2009, Comput. Networks.

[27]  Weisong Shi,et al.  WEAR: a balanced, fault-tolerant, energy-aware routing protocol in WSNs , 2006, Int. J. Sens. Networks.

[28]  GungorVehbi Cagri.  Efficient available energy monitoring in wireless sensor networks , 2008 .

[29]  Mohsen Guizani,et al.  Secure and Efficient Time Synchronization in Heterogeneous Sensor Networks , 2008, IEEE Transactions on Vehicular Technology.

[30]  Jie Li,et al.  A distributed energy efficient multicast routing algorithm for WANETs , 2007, Int. J. Sens. Networks.

[31]  Guang Jin,et al.  UDC: a self-adaptive uneven clustering protocol for dynamic sensor networks , 2007, Int. J. Sens. Networks.

[32]  Shimon Y. Nof,et al.  Design of timeout-based wireless microsensor network protocols: energy and latency considerations , 2009, Int. J. Sens. Networks.

[33]  Qi Hao,et al.  Congestion-aware, loss-resilient bio-monitoring sensor networking for mobile health applications , 2009, IEEE Journal on Selected Areas in Communications.

[34]  Magdy A. Bayoumi,et al.  A framework for assessing residual energy in wireless sensor network , 2007, Int. J. Sens. Networks.

[35]  Anup Kumar,et al.  Energy-efficient medium access control with throughput optimisation for wireless sensor networks , 2006, Int. J. Sens. Networks.

[36]  Charalampos Konstantopoulos,et al.  ABP: a low-cost, energy-efficient clustering algorithm for relatively static and quasi-static MANETs , 2008, Int. J. Sens. Networks.

[37]  Yang Xiao,et al.  Error Analysis and Kernel Density Approach of Scheduling Sleeping Nodes in Cluster-Based Wireless Sensor Networks , 2009, IEEE Transactions on Vehicular Technology.

[38]  Song Shen,et al.  Wireless sensor networks, an energy-aware and utility-based BDI agent approach , 2007, Int. J. Sens. Networks.

[39]  Ying Zhang,et al.  Coverage and Detection of a Randomized Scheduling Algorithm in Wireless Sensor Networks , 2010, IEEE Transactions on Computers.

[40]  Yang Xiao,et al.  Lightweight Deployment-Aware Scheduling for Wireless Sensor Networks , 2005, Mob. Networks Appl..

[41]  Qilian Liang,et al.  Fault-tolerant and energy efficient cross-layer design for wireless sensor networks , 2007, Int. J. Sens. Networks.