The Analysis of Load Balance for Wireless Sensor Network Using Compressive Sensing

2011 ◽  
Author(s):  
Guangming Cao ◽  
Fengqi Yu
Keyword(s):  
Wireless Sensor Network ◽  
Compressive Sensing ◽  
Sensor Network ◽  
Load Balance ◽  
Wireless Sensor

Efficient Routing with Compressive Sensing for Wireless Sensor Network

2017 ◽  
Vol 26 (2) ◽  
pp. 399-412
Author(s):  
Rania Ahmed ◽  
EL-Sayed M. El-Rabaie ◽  
Mohammed Abd-Elnaby ◽  
FathiAbd EL-Samie
Keyword(s):  
Wireless Sensor Network ◽  
Compressive Sensing ◽  
Sensor Network ◽  
Wireless Sensor

scholarly journals Energy-Efficient MAC Protocol for Wireless Sensor Networks - A Review

2012 ◽  
pp. 107-111
Author(s):  
Smriti Joshi ◽  
Anant Kr. Jayswal
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Load Balance ◽  
Mac Protocol ◽  
Average Energy ◽  
Wireless Sensor ◽  
Wsn Lifetime

Energy efficiency is the kernel issue in the designing of wireless sensor network(WSN) MAC protocols. Energy efficiency is a major consideration while designing wireless sensor network nodes. Most sensor network applications require energy autonomy for the complete lifetime of the node, which may span up to several years. These energy constraints require that the system be built such that Wireless sensor networks use battery-operated computing and sensing devices. A network of these devices will collaborate for a common application such as environmental monitoring. Each component consumes minimum possible power, ensure the average successful transmission rate, decrease the data packet average waiting time, and reduce the average energy consumption. Influencing by the design principles of traditional layered protocol stack, current MAC protocol designing for wireless sensor networks (WSN) seldom takes load balance into consideration, which greatly restricts WSN lifetime. As a novel Forwarding Election-based MAC protocol, is presented to prolong WSN lifetime by means of improving energy efficiency and enhancing load balance.

scholarly journals A compressive sensing–based adaptable secure data collection scheme for distributed wireless sensor networks

2019 ◽  
Vol 15 (6) ◽  
pp. 155014771985651
Author(s):  
Zhen Liu ◽  
Yi-Liang Han ◽  
Xiao-Yuan Yang
Keyword(s):  
Wireless Sensor Network ◽  
Data Collection ◽  
Compressive Sensing ◽  
Sensor Network ◽  
Linear Structure ◽  
Public Key Cryptography ◽  
Data Encryption ◽  
Wireless Sensor ◽  
Learning With Errors Problem ◽  
Chosen Ciphertext Attack

Toward the goal of high security and efficiency for data collection in wireless sensor network, this article proposed an adaptable secure compressive sensing–based data collection scheme for distributed wireless sensor network. It adopted public key cryptography technology to solve the key distribution problem, and compressive sensing over finite fields to reduce the communication cost of data collection. Under hardness of decisional learning with errors problem on lattice, it can ensure indistinguishability against chosen ciphertext attack (IND-CCA1) security scheme for collected data on the extranet and indistinguishability against chosen plaintext attack security for data during the process of distributed collection on the intranet. Owing to the similar linear structure for lattices and compressive sensing, data encryption collection can be all in the form of efficient linear operations, and internode data aggregation can be in the form of addition operation.

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